Reviews (30)

Dime store teaching philosophy aimed at an unknown audience.
Who is this book for???It appears to be written for children ages 6 to 9. The text revolves around fictitious characters and banal, time-wasting plots, as if the full concentration of the target reader could only be garnered by wrapping the science into a bed time fable.But what 9-year-old would wade through hundreds of pages to self teach elementary trigonometry, physics and calculus on the way to understanding wave analysis?Perhaps an adult is supposed to read out loud to a child looking at the pictures.I tried it with my 9-year-old daughter and she was bored stiff.The idea of blending pseudo-motivational fiction with science is dead.Barron's tried it with some of its "The Easy Way" remedial math texts, and ended up with junk that everyone hates.But this book is worse.For example, it tries to explain the concept of imaginary numbers in a ludicrous section in which we are to accept the emotional whims of not-so-bright cartoon-like characters as the rationale behind it all.To put it in a nutshell, 2nd grade teaching techniques are used for 10th grade (and up thorough college) material.Oddly, the text is peppered with elementary sentences in various foreign languages, presumably in case you want to simultaneously learn to spell "but no!" in French.

Excellent book on fourier transform
This book has done an excellent job on explaining fourier transformation. Although I believe I have clear understanding on fourier transform, this book takes me to a new journey and let me look at this transform from another perspective. Well done!

However, the reason I can not give this book five star is that the book contains many redundant and irrelavant dialogues which distract your attention from time to time. To speed up your reading, you have to filter it out.

In addition, this book is over size and make it difficult for bed-time reading.

Reviews (19)

Great Book!
I have BS in computer science and 8 years of S/W development experience in telecommunication industry. But my primary skill is protocol development and systems programming.

But as a music lover, as a musician, I've been interested in DSP technology for a long time and tried several times to get acquainted to the technology with no avail.

I guess the reason I failed is I couldn't understand the exact meaning of mathematical languages in DSP area.

I'm still in the middle of this book but now I can understand what the mathematical languages mean. The author is very precise using math languages and translate the language into easy plain english without missing any clarity and bravity of mathematical language.

I'm gonna keep working on DSP with this book as my hobby and finally when the time comes, all I gotta do is use my programming skill to develop a useful DSP S/W.

Great startinto DSP
This book tells everything you have to know about the mathematics to realise any signal processing application.
With the help of the examples (written in BASIC, I have some adapted into C) you can realize filters and signal synthesis/processing with FFT. There is no theoretical overhead.
With the help of this book I have developed a modem software within four monthes, without any basic knowledge in DSP.

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Reviews (11)

Written with the reader in mind.
I think this is one of the most understandable books in signal processing that I've ever come across.I get the feeling that Brigham had been frustrated by technical texts that were poorly written, and decided he wasn't going to commit the same sin.Plenty of carefully planned illustrations designed to help the reader start from a known place, and move step-by-step to an understanding of something new.Not just a bunch of faceless equations.I think this would be an excellent college text.

Like any in-depth text dealing with a mathematically complex topic, there appear to be a number of mistakes left in to keep the reader on his/her toes.But fewer than most.I highly recommend this book, even though I'm usually a pretty tough critic.I too have been frustrated by too many poorly written books.

Very good, but be careful, though
The book I have is ISBN 0-13-307496. It was published in 1974.

I am very happy about this book, I first read it in 1979 when I was 19, and I found it really marvellous. I agree with the other reviewers, but I must add a note of caution - the edition I have contains some errors. They are as follows;

p155, p157 - the factors w(11) and w(10) are incorrectly placed on the butterfly diagram 10.3 and 10.4 respectively,

p166, p168, p169, equations 10-26 and most equations following to the end of the chapter - the factors R(N-n) and I(N-n) should be R(N-1-n) and I(N-1-n), respectively.

I hope I'm right about this, but the convention is that the indices are from 0 to N-1, and therefore if n=0, then N-n is N - which not an allowed index.

Apart from these sort of errors (I havn't been through the whole book with a fine toothcomb), its really very good, actually extraordinarily clear.

One of its main benefits is that it doesn't veer away from the FFT to the very complicated developments such as fractional transforms and other developments which might confuse the sort of audience it's aimed at (which is definitely the graduates).

But if you want to look deeply into FFTs for a real application you will need a lot more. I must mention,for instance, that the implementation of an FFT needs fairly careful error propagation and rounding analysis, and this isn't covered at all in the book. Neither are prime factor FFTs. In fact the chapter "FFT algorithms for arbirary factors" is only a method of factoring into powers of two, and certainly not the prime factor decomposition which was developed later by Winograd, Chuo, and others.

It must also be said that while the DCT is practically a kissing cousin of the FFT, this naturally isn't covered in this text... but neither are the finite field implementations that are now taking many peoples imaginations to faster and faster FFTS.

Also, there are jolly useful things to know about, such as the FFT when you only need a subset of the output data points. There are pruning algorithms which greatly simplify the computations.

But it's very good as a starter, I wouldn't do without my copy!

Outstanding classic
I am mainly a neurobiologist by training, but transform theory is very useful in visual neurobiology and visual psychophysics, and I've looked at and read dozens of books on various aspects of signal processing and transform theory. Much of this is surprisingly applicable to the brain science area, as the revolutionary work of David Marr and other scientists showed a quarter of a century ago.

But getting back to the present book, this is one of the best books I've read in the signal analysis area. Brigham's presentation of various aspects of the FT, including the continuous FT, digital FT, convolution integrals, and so on, is clear and concise, whether he's discussing theory or applications. Also, his disussion of the Nyquist sampling theorem is the best and easiest to understand I've read.

Interestingly, this theorem has quite practical applications, not just in digital sample theory, but in real life. According to the Nyquist theorem, no information is lost in converting from analog to digital form if the sampling frequency is twice that of the highest frequency in the signal. Well, have you ever used those audio headphones they have on commercial jetliners? The Nyquist theorem means they can switch the audio outputs at high frequency using well-known time-domain switching techniques rather than run copper to each passenger's seat. I've read that this saves 300 pounds of copper wire in a typical plane, the weight savings of which can of course be more profitably used for transporting other things. If you consider that 300 pounds is about the weight of your average couple,you can see how the savings would add up after even a few flights.

Reviews (9)

Excellent for review of DSP Mathematics....
Great companion book to "Understanding Digital Signal Processors" by Lyons and "Digital Signal Processors" by Hayes. I would recommend this book strictly for a companion book. It doesn't go into in-depth detail or explanation of Laplace, z-transforms, or Fourier Transforms but displays a good foundation for MatLab DSP routines.

Great as a Companion Book!!!
I am currently taking a intro to Digital Signal Processing at my university. I find this book is a very good complement to Proakis' Digital Signal Processing book. I have learned a lot about DSP using these two books. the aim of this book is to be a companion book to more traditional DSP books, it tries to be nothing more. In that regard, I believe the book excels. Get it as a supplement/companion to a traditional DSP book and you will learn how to do DSP with MATLAB. Highly recommended!!!

Reviews (4)

Clear, concise, and clean
This book very clearly explains advanced topics in DSP. The notation is consistent and very clean, as well as the book layout and the writing. The examples are useful and the review section is very helpful. This is how a technical book should be written.

awesome book
Clear examples, clean derivations, and easy to understand style has Monson Hayes' his signature written all over it.I have his schaum's outline on DSP, and its just as good.I haven't finish perusing this book; i am currently on signal modeling (ch.3, i think) where pade, shank and other methods are derived, and i've already found plenty of application to work on.

homework problems include both mathematical and computer (matlab) exercises that help cement understanding the material at the end of each chapter.

applicable, yet theoretically appealing, this book is best for those who has had an introductory DSP course, although it is very much self-contained - the author starts with a comprehensive review of linear algebra and random processes - it will serve the serious student with an interest on statistical description of signals and system very well.

Examples ! Examples! Examples
The book is beautiful, really neat. It contains all the essential topics that you will expect in a Spectral Analysis book. I stumbled across it in library and was impressed with the treatment that the author gave this subject. I now have a copy of my own. The topics range from basic to advanced including a few topics on adaptive filter theory.

Reviews (53)

Great book, very insightful
I'm shocked at the number of negative reviews of this book. I think it's a great book. Linear algebra is an incredibly important subject, for example in my field of electrical engineering. Every time I need to refresh my understanding of a concept, I turn back to this book (I have the edition from 1976). I had Strang as a lecturer at MIT in the late 1990s, and he is a great teacher, which I think is reflected in his book. I truly enjoy reading this book -- practical, conversational and enjoyable to read, helpful insights, as well as Strang's opinions on the usefulness and practicality of various results. I would describe the book as an advanced introductory linear algebra book, if that makes sense. It's definitely not graduate level, but unless you're pretty sharp, it might be a tough first book from which to learn linear algebra. Maybe that's why there are some negative reviews of this book here. I recommend it very highly, especially for those who already have some knowledge of linear algebra. In fact, the reason I came to this page in the first place is to buy a second copy of the book, so I can have one in my office and one at home... there aren't very many books I would say that about...

First "...and its Applications" Book I Met True to the Title
Firstly, this book is true to its title...

It motivates the subject matter clearly and presents instances of why a certain type of problem is important (Why do we care about Ax=b, Ax=[lambda]x, ...)
It motivates the use of certain algorithms (Why do we use Gaussian Elimination, why pivot, why do the SVD, ...)

Also, as a basic text in Linear Algebra, which is THE introductory subject to applied mathematics, it serves a a primer for various areas in applied math: optimization, numerical solution of PDEs, "curve fitting" =), etc.....

Reviews (24)

Something is missing ...
This book was required for a graduate-level DSP course, but I found it quite insufficient for study without a VERY good set of classroom notes.There are mistakes in various equations throughout the text, little to no examples, and I have yet to find a solutions manual.

The one nice thing I can say about the text is that it is thorough in its coverage.The book covers almost every topic I can think of for both undergraduate and graduate-level courses.My course has supplemented the text with "Discrete-Time Signal Processing" by Oppenheim and Schafer as well as "Adaptive Filter Theory" by Haykin.I found Oppenheim's text to be better for the examples -- even buying the Shaum's Outline for DSP can suffice.Haykin's text is for our coverage of adaptive filter theory.

If you're looking for a good undergraduate text try B.P. Lathi's book "Signal Processing and Linear Systems" -- it's much better and has been used at my University for a number of years now to teach our two undergraduate-level DSP courses.

Solid Book
I am a graduate student at USC and this book I actually used in lieu of the assigned book Digital Signal Processing (by Mitra). I referred to this book mainly because the assigned book hardly had any intuitive explanations and was quite convoluted. Proakis did a much better job in terms of the relationships between the various Fourier Transforms without comprising mathematical rigor. I also have Lyons Understanding Digital Signal Processing which is great for people new to DSP but I felt it lacked some depth in certain areas and did not have sample problems. Overall Proakis does a solid job with this book. I'd recommend it after knowing the material in Lyon's book.

Editorial Review

Reviews (43)

One of The Best DSP book for beginner
Have you ever tried to study DSP but get intimidated with all the math equations and cryptic explanations?! With Lyons' book, you are not going to have these problems. Lyons' beautifully explains DSP "concept" without going to unnecessary mathematical details. There is still a lot of math in this book, but all of them is presented from practical point of view and only when needed. It teaches you enough basic DSP so when you need to learn advanced DSP concept from other books (such as , you won't be intimidated!

I consider this as the most necessary basic building block to be able to understand the DSP Bible "Discrete-Time Signal Processing (2nd Edition), for Oppenheim".

Fantastic Book
OK, let me first start out by saying that I am a little biased here since I helped review the new edition, but this is a fantastic book.While this book isn't a total replacement for the standard DSP tomes like Oppenheim and Schafer, this is a text that all DSP engineers should own.

The second edition expands on the strong points of the first.The book is written by an engineer for other engineers.The topics are accessible to readers, while not being watered down.

Less understood, but extremely important topics such as quadrature processing and Hilbert transformshave expanded coverage in this edition.

The best improvement to this edition is the vastly expanded chapter on DSP Tricks.The tricks are practical applications of DSP theory.These tricks usually are not taught in school, and are often not well known.The number of pages devoted to tricks has doubled to over 100, and unlike other books, cover a broad range of topics.Application areas cover audio processing, digital communications, simulation, analysis, and others.

In summary, you will not be disappointed with this book.