Product Description
In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. Also included on the CD-ROM is technical info on DSP processors from the four major manufacturers (Analog Devices, Texas Instruments, Motorola, and Lucent) and other DSP software.

*Covers all major DSP topics
*Full of insider information and shortcuts
*Basic techniques and algorithms explained without complex numbers ... Read more

Customer Reviews (35)

An excellent introduction, and more
This is an excellent introduction to digital signal processing.

The book is very thorough in the topics it covers, and the author ties the concepts to reality very well by using examples, and tells why these concepts are important.Terms are defined and explained well.

The book isn't mathematically rigorous; it uses enough math to explain DSP, but for a more complete mathematical treatment, other, more advanced books would be better.Nevertheless, this book is much more than just a beginner's book.

Many small computer programs are given to illustrate some of the computation methods.These are very adequate for their purpose of explanation, but since programming is not the subject of the book, the programs are not at all advanced.

DSP can be a difficult subject for a non-electrical engineer who did not learn about it in school.There are books on the subject that are complete, but so filled with advanced mathematics that a beginner can easily get lost in the first chapter.On the other hand, there are books that are so simplified that they present nothing but banal generalities about DSP.

So I was very happy to discover this book.It has enough math to explain the subject, but not too much.Most importantly though, the author repeatedly ties the DSP concepts to reality, so that I can picture what an algorithm has to do, rather than presenting equations whose meaning I don't understand.The author does a great job of explaining the powerful abstractions of DSP using concretes that I can understand and visualize.

Finally, the author's enthusiasm for the subject really shows in the book - and results in a book that is written in a lucid style.

DSP for dummies?
this is one of the worst books i ever forced myself to read. in spite of this, i give it two stars because it actually had the information i was looking for, and its pretty darn cheap. its also a quick read, more like reading a novel than studying. you can probably breeze throught the text in about a week. the bad part is the presentation.

the authors use of figures is horrific. most explanations are conveyed through the figures without much support in the text. he makes a habit of placing the figures so that you need to turn a page or two to see what he is referring to. often in his textual discussion he assigns letters to different parts of a figure, but he fails to actually place the letters in the figure itself! (for instance, he will refer to "figure 10-3(c)", but figure 10-3 is a just a bunch of graphs without any letters telling you which one is (c))

it can be said that one of the highlights of the book is that the author dispenses with mathematical rigor and derivations. however, he goes far beyond that and makes several statements that either make no sense or are downright false. for instance, in discussing the discrete fourier transform, he says "if x[n] <--> mag(f) & phase(f) then x[n+s] <--> mag(f) & phase(f) + 2pisf". he wants to say that a time shift transforms into a phase shift, but he is implying that each time corresponds to a single frequency.

the authors worst mistake is assuming that his readers are really really stupid. he makes statements such as "i know it doesnt make sense. just memorize it." and "dont try to think about this one or your head will explode." why does he have to be so condescending? the title even states that it is written for "engineers and scientists". his ineffable wisdom also decided that we are incapable of using complex arithmetic. i dont know about you, but i was taught complex arithmetic in like the 7th grade. the complex dft is considerably simpler than the real dft, yet he pretty much puts it in an appendix at the back because he considers it too hard for us.

the author again manifests his lack of faith in his readers, and his utter ignorance, by chosing to describe the algorithms using BASIC! for instance, convolution can be expressed as a simple summation, but he chooses to explain it using a BASIC program about a dozen pages before he gives the mathematical formula. i dont know why he felt compelled to use a formal language anyway, but the reason he's using BASIC is obvious: we're a bunch of dummies and with a name like BASIC it must be comprehensible to us.

very readable book that explains very well complex things
i like the fact that this book uses examples and narrative to explain things rather than using math stuff everywhere like other books do. From the very beginning this book introduces program examples on how programs are implemented to create the discrete functions that describe signals and processing and explains how they are related with the continuous or analog world. I highly recommend this book for everyone who wants to understand concepts without having to understand all the math that is involved. i have not finished the book but it indicates it also contains the math stuff at the very end for those who like or understand things that way too.

Excelent, practical, elegant presentation of deep concepts.
For anyone who wants to get up and running quickly with DSP algorithms without wading through overwhelming quantity of math and theory first, I can't recommend this highly enough.The author did a great job presenting the concepts in an intuitive way, so you gain a good intuitive grasp of what is going on.He also provides actual some actual code and algorithms to help you get up and running quickly, and provides the key math without all the unnecessary proofs.And he does this without sacrificing the beautiful concepts underlying the theory.
This book gave me more capability and intuitive understanding for real-world signal processing algorithms than my undergraduate DSP class did.Not that my class was bad; it was... well, academic-a lot of theory without gut-level intuitive understanding.This book is the opposite, and a good compliment to the academic approach.
I already had the free version but bought this anyway to support the author and to have a full printed version.It's that good.

The best in DSP
I have already known this book by its free pdf version available on the web. The book is amazingly "strait to the point" and covers in a simple way the normal complexity in DSP. This book is excellent and mandatory to be added to "Oppenheim" and any other that cover the DSP math. Congratulations to the author! ... Read more

Product Description

This excellent Senior undergraduate/graduate textbook offers an unprecedented measurement of science perspective on DSP theory and applications, a wealth of definitions and real-life examples making it invaluable for students, while practical.

Product Description
Book DescriptionA practical guide to the mathematics behind signal processing, this book provides the essential mathematical background and tools necessary to understand and employ signal processing techniques. Topics addressed include

• Fourier series and transforms in one and several variables

• applications to acoustic and electromagnetic propagation models

• transmission and emission tomography and image reconstruction

• optimization techniques

• high-resolution methods, and more

The emphasis is on the general problem of extracting information from limited data obtained by some form of remote sensing: acoustic or radar processing, satellite imaging, or medical tomographic scanning. ... Read more

Customer Reviews (4)

Understandable Book
This textbook is not an easy read but the author makes it clear enough so if you spend sometime you'll understand eventually.

Lots of meat here if you work at it

This relatively small (364 pages + bibliography and index) book contains an amazing amount of
material. There are numerous exercises, and many of them have hints.Answers to many but not
all, are available at the author's web site, available through the Math department at University
of Massachusetts Lowell. There is also a list of errors/typos. It is impressively shorter than
for many other technical books

The book contains a lot of information about signal processing and a lot of mathematics used
to construct signal processing algorithms. The author uses the text when he teaches "Mathematics
of Signal Processing." The title of the course is more accurate than the title of the book.
The author says the book was written with the title of the course but the publisher insisted
on changing it.

The introduction tells us the author was drawn into the field of signal processing by
accident in 1979, from the pure math fields of topology and functional analysis.The book is
his attempt to make the transition easier for others. This is applied math at the level of
rigor often found in texts with "Methods of ..." as the first words of the title.There are
no existence proofs. Orders of summation and integration are changed without detailed
justification.Matrices are assumed invertible, but workarounds are given for the rare
instances when they are not.The level of rigor seems appropriate for the subject. The emphasis
is on what might work, rather than on why something might not work.

The phrase "what might work" is important. In signal processing, the goal is to extract
information from too little distorted and noisy data. What worked in sonar might not work
for voice recognition.What worked on one set of data might not work on another set of data
for the same technology. One example involved a cross section of a skull. Just adding the
information that certain portions of the image were outside the skull yielded much better
information about what was inside.

The book contains 63 short chapters and there is a lot of meat per page. You should have a good
background in math, both in depth and breadth. There is a lot of calculus and linear algebra,
especially matrix manipulation.Some knowledge of differential equations is needed. Many of
the tricks (techniques) taught in advanced calculus are used.There is considerable use of
elementary mathematical statistics, such as expected values, standard deviation,and the normal
distribution, mostly in the later parts of the book. You do not have to be a master
of these subjects. You can use the results without understanding all of the details
of each step in a proof, but you probably need the mathematical maturity that comes from
those subjects.Gloss over too many steps and the subject matter seems incomprehensible.
Those who got an "A" in "Advanced Math for Poets" will probably be lost.

As an example of the concentrated presentation, the entire chapter devoted to the Fast Fourier
Transform, is only three pages. This includes 1/3 page of chapter header, a lead in about
evaluating polynomials, the algorithm and its proof, and justification for padding with zeros
to the next power of two, and there is still room to add a short paragraph in the next edition.

Besides the mathematical complexities, there is much more data than in most math classes.
Most data is in the form of vectors or matrices of complex numbers. Formulas are longer
than you might be used to. For example, some identities used to simplify results contain
13 references to matrices, many of them being inverses. The explanations seem good; there
is just a lot to absorb. Proofs and exercises are longer than most readers will have experienced,
and are more likely to involve multiple mathematical disciplines.

Many signal processing methods involve solving a system of linear equations. The system might be
underdetermined or inconsistent. Techniques for solving such a system have been known for
centuries, but are too slow when there are dozens to hundreds of equations for each point,
and many thousands or millions of points.Many iterative approximation methods are presented,
with information about the speed of convergence and the nature of the result if the system is
underdetermined or inconsistent. Some of the methods are identified as generalizations of other
methods.

I took the class taught by the author using the book.I had the prerequisites about 40 years ago.
It is a good thing that I'm retired, because it was far more than a full time job to keep up.
I've tried to write this review as a non-personal evaluation, but I suspect those who are better
or more recently prepared might be a little more favorable about the book than I am.
The author states he will respond to questions, suspected typos, etc.

There are some places where most readers will feel lost.A sentence or paragraph that seems
like it should be a conclusion or wrap-up will make no sense."Huh? I didn't get that."
Press on. It is really a transition to the next topic.

Signal processing is essentially an operation performed on a computer, or occasionally by a
specialized circuit.Even a small application might be a lifetime job for a person. Several
algorithms are presented, but there is little recognition of the practical difficulties
involved in turning the equations into robust programs or practical circuits. It is a math book.

There is a bibliography of 195 items. I get the impression the book covers all the major
techniques used now, and many others that are of historical interest.

Overall, this is a book that you can get a lot out of, if you are willing to put a lot into it.

A solid, college-level text about the mathematics behind signal processing
Signal Processing: A Mathematical Approach is a solid, college-level text about the mathematics behind signal processing, focusing on the mathematical background and tools needed to comprehend and employ signal processing techniques. Covering such topics as Fourier series and transforms, transmission and emission topography and image reconstruction, optimization techniques, high-resolution methods, and much more, Signal Processing includes descriptive instructionals, examples, figures and graphs, and exercises to refine one's grasp of the mathematical principles. A singularly valuable textbook or self-study resource for students and professionals, whether preparing for a future career or brushing up on standby skills.

The Math You Need to Process Digital Signals
An amazing amount of data being collected out in the real world comes in the form of digital signals. This includes radar, sonar, ultra-sound or other medical imaging system, and more. Once the data is captured (the realm of the pure enginnering types) some kind of processing has to be done to convert the data (a string of 0's and 1's) into something that comes across to us as information.

Now the problem moves to the mathematician who has to decide how to best take this data and process it to get it in a form that provides useful information. The basic mathematical techniques are not new (Fourier did his work about 1800, Hilbert around 1900) but nor are they the things you normally study in high school. As digital computers have become possible, new techniques have been developed to speed the processing task.

This book is positioned at the intersection of the engineer producing the signal, and the programmer who has to do something with it. It is the solid mathematical background to signal processing. It is basically a selection of the mathematical techniques needed to do signal processing. ... Read more

Product Description
This text presents a comprehensive treatment of signal processing and linear systems suitable for juniors and seniors in electrical engineering. It is based on Lathi's widely used book, Linear Systems and Signals, with additional applications to communications, controls, and filtering as well as new chapters on analog and digital filters and digital signal processing. This volume's organization is different from the earlier book. Here, the Laplace transform follows Fourier, rather than the reverse; continuous-time and discrete-time systems are treated sequentially, rather than interwoven. Additionally, the text contains enough material in discrete-time systems to be used not only for a traditional course in signals and systems but also for an introductory course in digital signal processing. In Signal Processing and Linear Systems, as in all his books, Lathi emphasizes the physical appreciation of concepts rather than the mere mathematical manipulation of symbols. Avoiding the tendency to treat engineering as a branch of applied mathematics, he uses mathematics not so much to prove an axiomatic theory as to enhance physical and intuitive understanding of concepts. Wherever possible, theoretical results are supported by carefully chosen examples and analogies, allowing students to intuitively discover meaning for themselves. An accompanying solutions manual is available on CD-ROM. ... Read more

Customer Reviews (13)

A++++++
great book, everything inside is written very well and easy to follow. many examples in details.

Excellent book to understand DSP basics
This book is the best available in market to understand the basics of Signal Processing with crisp explanations and very good mathematical treatment. Still I feel that, after reading this book one must switch to EITHER the book by Proakis and Manolakis OR the book by Oppenheim for more thorough knowledge. The knowledge gained from Prof Lathi's book makes others easy to comprehend. I would strongly recommend this book to any novice in Signal Processing domain.

Mathematically rigorous but explaining physical significance
This book clearly explains the physical significance of many phenomenon and topics that we come across in this subject. The most striking feature is that it does so from the fundamental linear differential equation and gives us very good insight of the subject and a sense of completeness . Definitely its better than Oppenheim book which deals the subject a bit more mathematical.

Better to get Oppenheim Schafer Buck
The Lathi book is fine, and covers both continuous and discrete signals, but is a little hard to read at times.A better book that covers both is the one by Oppenheim & Willsky.And if you want a much better book for the discrete side of things then get Discrete-Time Signal Processingby Oppenheim, Schafer, & Buck.

signal processing and linear system
this is a gem of a book on this subject no need to waste ur time reading abtruse and unfriendly books,the writer of this books comes down to the understanding of average student to explain the beautifull ideas of this subject.he is crystal clear about the subject and i have not found any book as good as this . he gives a good brushing up review in mathematics which is very very helpful.take my my advice ur money is safe in buying it .to do more numerical problems u can refer to A.V Oppenheim(a more difficult book).
rohit ... Read more

Product Description
A text on digital signal processing and digital filter theory for seniors and graduate students, it presents the most current information available with computer-oriented projects integrated throughout. It assumes prior knowledge of signals and systems/circuits. ... Read more

Product Description
In recent years, pseudo random signal processing has proven to be a critical enabler of modern communication, information, security and measurement systems. The signal’s pseudo random, noise-like properties make it vitally important as a tool for protecting against interference, alleviating multipath propagation and allowing the potential of sharing bandwidth with other users.

Taking a practical approach to the topic, this text provides a comprehensive and systematic guide to understanding and using pseudo random signals. Covering theoretical principles, design methodologies and applications, Pseudo Random Signal Processing: Theory and Application:

• sets out the mathematical foundations needed to implement powerful pseudo random signal processing techniques;
• presents information about binary and nonbinary pseudo random sequence generation and design objectives;
• examines the creation of system architectures, including those with microprocessors, digital signal processors, memory circuits and software suits;
• gives a detailed discussion of sophisticated applications such as spread spectrum communications, ranging and satellite navigation systems, scrambling, system verification, and sensor and optical fibre systems.

Pseudo Random Signal Processing: Theory and Applicationis an essential introduction to the subject for practising Electronics Engineers and researchers in the fields of mobile communications, satellite navigation, signal analysis, circuit testing, cryptology, watermarking, and measurement. It is also a useful reference for graduate students taking courses in Electronics, Communications and Computer Engineering. ... Read more

Product Description
08910-2 Use computer-aided engineering software to design DSPs for digital control systems. DSPs can be used to implement controllers designed with classical frequency-domain techniques as well as more contemporary state-variable methods. Computer-aided analysis and design tools bring the whole process up to date. Digital Control Using Digital Signal Processing provides complete coverage of the field, including:* Full, up-to-date coverage of digital controls analysis and design. * The role of DSPs in implementing digital controllers. * Integration of MATLAB(R) and MATRIX(R) and other CAE software packages in analysis and design. * An extensive variety of examples and study problems.Digital Control Using Digital Signal Processing begins with a review of digital control systems and their design. Basic mathematical concepts are presented early, including difference equations, the z-transform and state-variable methods, leading to a thorough treatment of classical compensator design. The fundamentals of digital signal processors are then applied to digital control systems.The latest state-space techniques are covered, including pole placement, state estimation, and optimal linear quadratic regulation. Advanced topics include chaos in nonlinear control systems and fuzzy logic control. Eight appendices provide practical information about useful formulas, software tools, and sample programs. Practicing engineers will find Digital Control Using Digital Signal Processing an invaluable resource, as will upper-division and graduate students. Some background in linear systems theory and linear algebra is required. Familiarity with CAE, MATLAB, and MATRIXx software packages will aid in implementing the analysis and design discussed here. ... Read more

Customer Reviews (9)

Bad Investment
This is a very poorly written book. The book is randomly written with no flow.It seems like the author picked up examples and ideas from various places and notes and put it together and published it.I do not recommend this book to anybody.

A Great Book for Understanding DSP/Control Fundamentals
This is the first book to cover the topic of Control Systems and DSP with practical applications. It is very comprehensive, yet easy to understand through several examples. The book is an asset to graduate students or practicing engineers in Control Systems and/or DSP field.

A Great Book to Cover the Topic
This is the first book to cover the topic of Control Systems and DSP with practical applications. It is very comprehensive, yet easy to understand through several examples. The book is an asset to graduate students or practicing engineers in Control Systems and/or DSP field.

A great book to cover the topic
This is the first book to cover the topic of Control Systems and DSP with practical applications. It is very comprehensive, yet easy to understand through several examples. The book is an asset to graduate students or practicing engineers in Control Systems and/or DSP field.

A great book to cover the topic
This is the first book to cover the topic of Control Systems and DSP with practical applications. It is very comprehensive, yet easy to understand through several examples. The book is an asset to graduate students or practicing engineers in Control Systems and/or DSP field. ... Read more

Product Description
Complete, One-Stop Guide To Modern Digital Signal Processing Techniques - With Hands-On Companion Software!

A comprehensive, yet highly accessible reference for professional engineers, this book capitalizes on computer-based instruction to help you master all thebasics and complexities of digital signal processing. Featuring an incisive combination of theory, analysis, design, and technology, it encompasses the most vital signal processing issues: mathematical and frequencyfinite and infinite impulse response digital filters and their implementations; multirate and wavelet signal processing; coverage of advanced topics like IIR architecture, finite wordlengths, overflow prevention, noise gain, multirate signal processing, and more.

Each chapter provides useful self-study problemsto test your understanding, while the companion disk turns your PC into a virtual instrument by providing sampling, linear systems, spectral analysis, communications, and multimedia examples. Plus,application software tools and integrated chapter-by-chapter exercises are included to further reinforce comprehension. ... Read more

Customer Reviews (3)

Useless piece of trash.
This book is very hard to follow.You really cannot use it to learn or research any topics in DSP.It is very hard to follow, and it is full of errors.Try using another book. I will throw this book and the CD tonight.I can't believe I bought this book.

Lots of Errors
This book is riddled with errors - the errata (available on the Athena Group's website) is twenty pages long!Some of the errors are just grammatical, but many are mathematical.It is very difficult to learn when an important equation is incorrect.In light of the many other DSP texts (which don't have all the mistakes that this one has) at all levels that are available, there is no reason to buy this book.

Good book
This book cover ths basics and highlights certain features that is hard to visualise ... Read more

Product Description

This graduate-level text lays out the foundation of DSP for audio and the fundamentals of auditory perception, then goes on to discuss immersive audio rendering and synthesis, the digital equalization of room acoustics, and various DSP implementations. It covers a variety of topics and up-to-date results in immersive audio processing research: immersive audio synthesis and rendering, multichannel room equalization, audio selective signal cancellation, multirate signal processing for audio applications, surround sound processing, psychoacoustics and its incorporation in audio signal processing algorithms for solving various problems, and DSP implementations of audio processing algorithms on semiconductor devices.

Customer Reviews (1)

Very Helpful
This is the first book (properly written) on Immersive Audio Signal Processing so a big thumbs up. A USC graduate myself, I have much respect for the Authors. Like most DSP books it includes a couple of (redundant) chapters on transforms and filter design. The books assumes the reader has basic knowledge of DSP and all the required math background.
The chapter on Acoustics covers several useful topics but still needs more elaboration. New to this area, I had to refer to other resources to fully understand the concepts and mathematical equations. The topic of Psychoacoustics is also briefly touched. The book becomes much more useful from the 4th chapter on Immersive Audio Rendering and the following chapters on Equalization. A good thing is that these chapters also include material from both the authors research papers and refer to a large number of useful papers and journal articles. Future directions in research that are mentioned at the end of each chapter could be quite useful for people that are beginning their research in Immersive Audio.
Overall I would say that the book is a good effort and would be very useful for graduate and PhD students doing research in this area. ... Read more

Customer Reviews (1)

Great Examples of Kalman Filters
This is one of the best books I have come across in giving real world examples of Kalman Filters.From radar tracking to traffic analysis.

Read this book in conjuction with S.M Bozic's book "Digital and Kalman Filtering and you will know everything there is to know about Kalman Filtering :-) ... Read more

Product Description
Provides a solid foundation of theoretical and practical tools that will serve a broad range of signal processing applications. DLC: Signal processing--Mathematics. ... Read more

Customer Reviews (13)

It could have been the best engineering book ever
If the typos and the software bugs weren't that many. Very good and complete reference book. It is more general than signal processing. If you can master this book you can be a very good engineer. The implementation in matlab has some bugs, but they are very helpful when it comes to understandthe algorithms. It includes topics from optimization, linear algebra, probabilities etc. It's a good book to have in your library. It is worth its price.

good but too formal
This book is not for beginners. it is for students who have a background in real-analysis. It is also not a book to study signal processing, but it is more of a reference guide. I am disappointed with it, because I didn't get what I hoped to from this book.

Publisher does not provide CDROM in latest printing
Recently purchased this book and from reading parts of it the book is a very good source of the mathematics associated with signal processing. However the publisher in the latest printing I just received no longer provides the promised CDROM and the listed website where to obtain the MATLAB material on the CDROM is also no longer supported by the publisher. An e-mail response to my inquiry about the missing MATLAB code source from a representative of the publisher indicates that the book is too old and their is no need to provide the material anymore.

Target Audiance - Choose Wisely
This book is certainly technically sound.That being said, I find the notation confusing and the text relatively inacessible.The book is likely a good selection for someone wanting to study the innermost mathematical details of modern signal processing.Unfortunately, the text spends less time on actual implimentation and usage than would be preferable for audiances focussed on real world applications.

excellent collection of signal processing math
this book is really good for a signal processing researcher.
generally it is difficult for a new researcher to connect math to the signal processing methods. conventional signal processing books only give the bit of math as needed in the signal processing books and this makes it difficult for an inexperienced student.
in this book mathematics is explained in more detail and in the introduction of each chapter it is mentioned why and where you would need this math knowledge.
at the end of each chapter application sections are provided
where problems from signal processing are explained for that particular mathematical method.

there are also exercises.

however, this book can be difficult for a new graduate without any establishment of signal processing concepts and problems.

it is an excellent book for a phd student in my view and it can be a classic.










... Read more

Product Description
Estimation theory is a product of need and technology. As a result, it is an integral part of many branches of science and engineering. To help readers differentiate among the rich collection of estimation methods and algorithms, this book describes in detail many of the important estimation methods and shows how they are interrelated. Written as a collection of lessons, this book introduces readers o the general field of estimation theory and includes abundant supplementary material. ... Read more

Customer Reviews (5)

Lessons in Estimation Theory is an Excellent Text Book
I first used this text book in 1980 at USC. At that time, it was only in the form of prepared lecture notes. The current organization of this book is the same as before. New material has been added. I purchased this book because of the new revised material. I find the book to be very systematic. It is an excellent book for personal study of the subject or as a graduate text book. Since 1980, there are some other books that are now available on the subject. But this book stays very relevant and useful as ever. I recommend it highly.

A well organized, useful book on estimation theory
I am a student of the author and I really enjoyed this book along with his lectures. I may not enjoy reading this book without going through the lectures of the author (This is the scenario with many subjects to most students). The book is well written well organized and I benefited a lot from this book.

Well-organized and clear lessons on estimation theory when used as a textbook
During the winter 2008 academic quarter I took an introductory class on optimal estimation which relied heavily on this book, covering about 70% of the material.I felt the text gave a great background on optimal estimation, but because I used it in conjunction with an engineering class, I can't really say how great the book would be as, say, a self-study aid.I am disappointed at the price vs. binding ratio for this book, since at $99 I would expect a book like this with no glossy color pictures to be hardcover, whereas it is soft cover.The content of the book itself is great.

The book is divided into many very short chapters, which I really appreciate, since it builds up in small, manageable increments the foundation to more complicated optimal estimation concepts.For example, one chapter will cover Gauss-Markov processes and their properties, while the next will cover Kalman filtering.The homework problems, which aren't too difficult, have a few typos, but it was obvious they were typos.All in all, for me this book provided a clear introduction to optimal estimation, but your mileage may vary if you are using it for self-study.

Not for the mathematically faint of heart
I used this book for a class during my PhD in Elec Engr.This book is best read with a second book in statistics and a third on signals close at hand.The concepts are complex and presented in a reasonably brief manner.It packs a lot of punch in a relatively small space.If graduate classes in signal processing and control systems are your bag, this may be the book for you.

why do I need to read this?
I don't know after I finished this book. And reading this book is definitely not an enjoyable experience. The worst thing is the writer wrote this book into a math book. The worst of the worst, it's a math book with 'n', 'N', 'k', 'lambda'... all these messed up. It takes unnecessary effort to figure out the dimensions of matrixes and vectors. After all the torture, I cannot find a tiny bit of physical meaning attached behind. The problems are remotely connected with the text. I cannot do the problems after I read the text twice, or I cannot even understand what the problems are talking about. As an engineering student, I believe the underlying essence of any theory is simple. It's the writer used 560 pages to make it complicated and confusing and the student now have to do the reverse work. ... Read more

Product Description
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services.

Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods.

Additionally, expect to find:

• explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals;
• an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs;
• reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals;
• coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon;
• descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing.

Customer Reviews (1)

The review of the book
I am a PhD student with major in signal processing and machine learning with applications to neuroimaging data. I must emphasize that the following review is affected by my knowledge and review criteria. So it is somewhat subjective.

This book may be the newest book on EEG signal processing. It reviewed some newly developed techniques with emphasizing on independent component analysis (ICA). Plenty of references are provided at the end of each chapter.

However, compared to many classic books in signal procesisng and EEG fields, I have to give three stars to this book, due to the following reasons:

1) Some contents that are not important are introduced with many pages, while some contents that are important are introduced briefly (note the main body of the book has only 265 pages).

For example, in the 265-page book, the authors use 34 pages to introduce the background, while use half a page (or one or two paragraphs) to introduce some important algorithms which are new to EEG signal processing and have potential applications.

Another example. We know that using ICA to detect, separate and classify P300 signals is very important in the history of EEG/ERP processing. There are numerous literature involve it. But the authors give only half a page to state it.

2) Some algorithms introduced in this book are not complete.

Through the description of the book, the reader may not well understand some algorithms, such as the Parallel Factor Analysis (Section 7.3.2), because they are introduced briefly. For some algorithms the definitions of some symbols are missed, such as the algorithm in Section 5.2.4: what's the meaning of Q? And in Section 3.1.3-3.1.4 what's the meaning of r?

For some important algorithms the authors almost directly list the equations of the algorithms without explanation, such as the one in Section 5.2.9. If there is possible for the authors to provide the second edition, I think they should add something important about the algorithms, such as the motivation of algorithms, the key steps in the development of algorithms (eg. the construction of objective function of algorithms), the physical meanings of algorithms, and their performance in practical applications and so on.

3) The selection of algorithms in each topic is strongly affected by the authors' interest and their published work.

For example, in Section 3.1.3-3.1.4 the authors use 7 pages to introduce their work in the ICASSP conference, while leaving lots of important methods (proposed by others) published in other top journals or top conferences unmentioned.

Another example: In Section 7.2.1 (Preprocessing of EEG) the authors only introduced their published work, but not introduced others' work. I think in this section some things should be added. For example, there are other preprocessing aspects in addition to artifact removal. Even in artifact removal by ICA, other methods may need to be added such as several kinds of constrained ICA, methods based on higher-order statistics (using ICA as preprocessing and then using conventional methods to remove artifact), and the automatic methods for artifact removal. Especially, the removal of eye artifact may need to be added, because removal of eye artifact is very important for the visual attention experiments.

4) Some places in the book may be not clear and may arouse readers' misunderstand, or even wrong.

For example, in page 98 the authors said, "for the EEG mixing model....the propagation velocity is equivalent to that of electromagnetic waves (300,000km/s). Therefore the delay is almost zero and the mixing model can always be considered to be instantaneous (ICA model)". It's wrong. The delay definitely exists in EEG signals, since the propagation velocity of EEG signals is very very low compared to the electromagnetic waves. And there are some literatures using convolutive ICA to process EEG signals (Neural Computation 2006, Neural Networks 2003, etc).

Another example. In Section 1.2.3 the authors put skewness and kurtosis, which are often seen as measurement of non-Gaussinity in statistics literature, in the subsection of measurement of nonstationarity. Although the authors think the skewness and kurtosis are useful in the measurement of non-stationarity of signals with time-varying distribution, they may need to give clearer explanation, and provide other conventional measurement of nonstationarity (maybe it is necessary to provide the definition of nonstationarity, since there are several definitions of it in signal processing literature).

In summary, the book is absolutely not a textbook, but a long review, such that you may not fully understand algorithms but you can look for original papers to get details according the references provided by the book.

I hope the authors can provide the second edition, in which they can balance their work and others' work, balance each contents (important contents and introductory contents), provide more details on algorithms (at least those important algorithms), include more newly developed techniques or important algorithms, and modify some errors. More importantly, they need to carefully exam their manuscript.

... Read more

Product Description
* Paperback reprint of one of the most respected classics in the history of engineering publication
* Together with the reprint of Part I and the new Part IV, this will be the most complete treatment of the subject available
* Provides a highly-readable discussion of Signal Processing and Noise
* Features numerous problems and illustrations to help promote understanding of the topics
* Contents are highly applicable to current systems ... Read more

Customer Reviews (3)

Good resource for research purposes.
I highly recommend this book to the researchers in the area. It coveres a wide range of scenarios and lays out the fundamentals in depth.

Mathematical Foundation of Radar-Sonar Detection & Estimation
When the reader masters the material in this book, one will have laid a thorough foundation for further work in radar & sonar problems.A prerequisite for Volume III of Van Trees is Volume I, which (also thoroughly) covers the fundamentals of Detection & Estimation Theory.A necessary prerequisite for Volume I in turn is a graduate course in Probability and Stochastic Processes.Van Trees' books are far superior to the more recent texts by Dr. Steven Kay on Detection and Estimation.

The first part of Volume III covers Detection & Estimation of Gaussian Signals in Noise.Chapters 9-13 cover the Radar-Sonar problem.The topics covered include Detection and Estimation of slowly fluctuating point targets, and then Doppler-Spread, Range-Spread, and Doubly-Spread Targets and Channels.Each chapter is mathematically rigorous, thorough and complete.

If one masters Volume III, one will then understand the theoretical foundations of radar detection.A more specific follow-on, which does not require the theoretical background of Van Trees' work, but attacks the issue from a more practical level is "Fundamentals of Radar Signal Processing" by Mark Richards of Georgia Tech.If one wants to learn more about actual radars, whether at a more introductory level, or in greater practical (as opposed to theoretical) detail, one cannot beat the books by Merrill Skolnik.

I used this book for a EE course at UMR
This is an excellent book for those who have excellent people to talk to about non-trivial concepts...interestingly we had a teacher who would often make improvements to Van Trees work! (dont worry...i wont name you Dr.Stuller) ... Read more

Product Description
This is a comprehensive introduction to digital signal processing, a growing and important area for the aspiring electronics or communications engineer. The aim of the book is to provide an introduction to the fundamental DSP operations of filtering, estimation and analysis. The book will be supported with a website of MATLAB experiments. Lecturer support will also be available via an on-line solutions manual (available via a password). Hardcopy solutions are also available. This work is intended primarily for undergraduate electrical/electronic/communications engineers, but should also be useful for some professional "short courses" that bring engineers educated only in analogue techniques up to scratch in the digital world. ... Read more

Product Description
Field programmable gate arrays (FPGAs) are an increasingly popular technology for implementing digital signal processing (DSP) systems. By allowing designers to create circuit architectures developed for the specific applications, high levels of performance can be achieved for many DSP applications providing considerable improvements over conventional microprocessor and dedicated DSP processor solutions. The book addresses the key issue in this process specifically, the methods and tools needed for the design, optimization and implementation of DSP systems in programmable FPGA hardware. It presents a review of the leading-edge techniques in this field, analyzing advanced DSP-based design flows for both signal flow graph- (SFG-) based and dataflow-based implementation, system on chip (SoC) aspects, and future trends and challenges for FPGAs. The automation of the techniques for component architectural synthesis, computational models, and the reduction of energy consumption to help improve FPGA performance, are given in detail.

Written from a system level design perspective and with a DSP focus, the authors present many practical application examples of complex DSP implementation, involving:

• high-performance computing e.g. matrix operations such as matrix multiplication;
• high-speed filtering including finite impulse response (FIR) filters and wave digital filters (WDFs);
• adaptive filtering e.g. recursive least squares (RLS) filtering;
• transforms such as the fast Fourier transform (FFT).

FPGA-based Implementation of Signal Processing Systems is an important reference for practising engineers and researchers working on the design and development of DSP systems for radio, telecommunication, information, audio-visual and security applications. Senior level electrical and computer engineering graduates taking courses in signal processing or digital signal processing shall also find this volume of interest. ... Read more

Customer Reviews (1)

a good introduction
This book is a good introduction about DSP theory on FPGA. I think it is very useful for my graduated school study (biomedical engineering), especially combined reading of another two books: "Advanced FPGA Design: Architecture, Implementation, and Optimization" by Steve Kilts, and "The Design Warrior's Guide to FPGAs: Devices, Tools and Flows (Edn Series for Design Engineers)by Clive "Max" Maxfield.

This book got a lot of figures that clearly explain the idea of digital signal processing on FPGA. You only need a little signal process basic. The authors explain clearly of how it work. It also introduced different tools, different chips. For example, it discusses of Altera, Xilinx, Lattice, those different FPGA chips in Chapter 4 & 5. It explain some tools like Matlab, IP core in Chapter 7. Chapter 8 of architecture, and Chapter 13 of power consumption consideration are also useful.

Anyway, it tells less about the exactly "verilog/vhdl code". If you are hurry to do "Implementation", another book may be more useful: "Digital Signal Processing with Field Programmable Gate Arrays" by Uwe Meyer-Baese (2nd or 3rd edition were OK).

I recommended this, mmmm...., well, except that price is a little high :- ... Read more