A Course in Digital Signal Processing 1st Edition

I used this in grad school (experimental physics) and loved it. I bought a new copy because one of my coworkers walked off with my original, and I'm glad to see the latest edition is just as good as the first. Easy to use, well written, clear examples, and the "Summary and Complements" section at the end of each chapter is really good - it should be a standard part of any textbook.

This is a good overall book although the notations while consistent were different from most other books. The key part of this book are its problems. The explanations of concepts are sometimes only fully understood after reading through the problems, understanding them and solving them. The difficulty level of the problems varies but for the most part reflect the text in the chapters. The asterisk annotated problems are harder but have a lot of practical significance. The organization and sequence is definitely better than Oppenheim Schafer. Covering Sampling Theorem, DFT,FFT first is definitely easier and provides a solid base to start understanding Z transforms and filter design. So if you are a immune to the notational differences or are ready to take on different notations (some people are not), this is a good book for you.

The book has a lot of great information, and I highly recommended it for its contents. Please be aware that the binding on the book isn't all that good. I have a copy of this book from my university library, and the binding is coming apart. The copy I just bought has a similar defect in the binding. Seems like the printer didn't do the best job when they bound the books. Oh well, it's worth overlooking for the contents of the book.

I LOVE this book for its exemplary clarity, conciseness and rigor. I liked having both the informal proofs which involve distributions given in parallel with the elementary proofs, thus presenting discrete signals both as sequences and as distributions. The book is written without any annoying mathematical sloppiness, quite common in DSP literature; yet, it is entirely accessible for everyone who is willing to invest an appropriate effort. Also, this is a real TEXTBOOK rather than a reference book, which keeps its size manageable and non-intimidating. In short, in my opinion, this is a must-have book for any student wishing to learn DSP with genuine understanding.

This textbook is required in the next semester so I bought one.. The books is in very good condition with few marking..BTW It is a hard-cover version, not like described on amazon.com. This really impressed me!

I'm an electronic engineer.I wanted to learn how to design digital filters. This book is very straight forward and all the matlab macros are included so that you can implement the filter design functions by yourself. I used visual basic in Excel. Its the best book so far I have read on how to design digital filters and what is the difference between the kind of filters and windows you choose. Now it is much easier to understand how to use the Matlab functions needed. It thorougly describes pros and cons of different filter types. Both FIR and IIR filters are covered.For IIR filters different implementations are described.A little about number of bits needed for coefficients.

It is just like a new one, I think it is worth to buy the book at the low price.

The author has managed to cram an impressive range of topics into a relatively slim volume. He does so, of course, by covering hardly any of them in any appreciable depth. The textual descriptions are, as the other reviews point out, generally confusing and of little value; the meat of the book is in the proofs that accompany each result. Unfortunately, these too sometimes use an unconventional notation and worse, are poorly typeset: there are often two or three steps combined into a single line and it will take the reader a few passes to figure out what is being shown.Once you've worked through the proofs, you're hardly done; many of the most interesting corollaries of each main result are discussed only in the problems following that topic. The problems are tersely and often vaguely stated, and there are no hints or answers given anywhere in the text. Many have an open-ended structure (i.e. asking "What can be inferred from ..." instead of "Show that ..."), which is a great format for an interactive seminar but absolutely horrible for self-study. Many of the problems can be solved only after having had the proper insight on a previous problem, but there is no explicit clue to this dependence in most of the problem statements.The target audience of the book is not clear; the lack of guidance, clear explanation, or useful examples make it clearly inappropriate as an introductory text, but the terseness and the fact that so many important results are buried in unanswered questions makes it of questionable value as a reference for those already well-versed in the field. Some of the problems might provide interesting ideas for lecture topics or exam questions, but the book itself has little value as a study aid. Highly recommended for sadistic professors trying to carve out a reputation as the toughest SOB in the department or math enthusiasts looking for a way to kill some time during a long prison sentence; everyone else should steer clear.