Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series)

With a good professor and with the skill set that the authors assume you have, you will find this a life long reference. How ever for the not so sure Stanley's Digital Signal processing is a much better choice.

The beginner should find Richard Lyon's Understanding DSP to be more user friendly, but if you outgrow Lyon, then this is the book that would whet your appetite.This book will be one you will frequently refer to clear your doubts.


The reference for DSP   April 21, 2001
 18 out of 23 found this review helpful

This is probably the most complete reference in DSP. It's full of examples covering the whole stuff in DSP. However this is certainly not fur use as an introductory book because the aim is not the explanation of fundamental concepts in DSP (for that go to Lyons "Understanding Digital Signal Processing"). Maybe it is possible to learn DSP with this book but then as a companion of a good undergrad course, not for self-study.

As stated by another reviewer, this book is over-crowded with developments, details and examples that could be overwhelming to the newcomer. This is probably its biggest drawback, in that its completeness hinders on its readability. So be aware that this is not an easy DSP book, it's THE DSP book.


Six star book on Digital Signal Processing   March 1, 2006
 25 out of 34 found this review helpful

This is the outstanding 2nd edition of Oppenheim's classic DSP book, which for over two decades was the only real choice for a textbook on the subject. That was too bad, since the first edition was probably the worst thing I have ever seen in print - terse, incomprehensible, and with only a few awful and poorly illustrated examples. When I decided to take a refresher course in DSP, I was horrified to see our class would be using the second edition of that horrendous text. What I found instead was a completely rehabilitated textbook! This is not a beginner's DSP textbook by any stretch of the imagination, but absolutely everything is explained and there are plenty of well worked out examples. The end-of-chapter problems are broken down into simple, intermediate, and advanced problems with quite a few mind-puzzlers in the advanced section. Plus, the answers to the first 20 problems in every chapter are in the back of the book.
There is really nothing unique about the book's format. What does makes the book unique is the density and amount of material included. Just about every page is packed with well-explained important information. I highly recommend this book to anyone who has had a prior semester of an upper-level undergraduate class in Signals and Systems and wants to study DSP. An accompanying book that you might find helpful is "Understanding Digital Signal Processing" by Lyons. That book is good for getting an intuitive feel for DSP. Another book that will help you with some of the earlier concepts in this book (linear systems, DTFT, Z-transform, DFT, basic filter design) and some of the direct computations involved is "Schaum's Outline of Digital Signal Processing". Amazon does not show the table of contents, so I do that here:
1. Introduction.
2. Discrete-Time Signals and Systems.
Introduction. Discrete-time Signals: Sequences. Discrete-time Systems. Linear Time-Invariant Systems. Properties of Linear Time-Invariant Systems. Linear Constant-Coefficient Difference Equations. Frequency-Domain Representation of Discrete-Time Signals and Systems. Representation of Sequence by Fourier Transforms. Symmetry Properties of the Fourier Transform. Fourier Transform Theorems. Discrete-Time Random Signals. Summary.
3. The z-Transform.
Introduction. The z-Transform. Properties of the Region of Convergence for the z-Transform. The Inverse z-Transform. z-Transform Properties. Summary.
4. Sampling of Continuous-Time Signals.
Introduction. Periodic Sampling. Frequency-Domain Representation of Sampling. Reconstruction of a Bandlimited Signal from its Samples. Discrete-Time Processing of Continuous-Time Signals. Continuous-Time Processing of Discrete-Time Signals. Changing the Sampling Rate Using Discrete-Time Processing. Practical Considerations. Oversampling and Noise Shaping. Summary.
5. Transform Analysis of Linear Time-Invariant Systems.
Introduction. The Frequency Response of LTI Systems. System Functions for Systems Characterized by Linearity. Frequency Response for Rational System Functions. Relationship Between Magnitude and Phase. All-Pass Systems. Minimum-Phase Systems. Linear Systems with Generalized Linear Phase. Summary.
6. Structures for Discrete-Time Systems.
Introduction. Block Diagram Representation of Linear Constant-Coefficient Difference Equations. Signal Flow Graph Representation of Linear Constant-Coefficient Difference Equations. Basic Structures for IIR Systems. Transposed Forms. Basic Network Structures for FIR Systems. Overview of Finite-Precision Numerical Effects. The Effects of Coefficient Quantization. Effects of Roundoff Noise in Digital Filters. Zero-Input Limit Cycles in Fixed-Point Realizations of IIR Digital Filters. Summary.
7. Filter Design Techniques.
Introduction. Design of Discrete-Time IIR Filters from Continuous-Time Filters. Design of FIR Filters by Windowing. Examples of FIR Filter Design by the Kaiser Window Method. Optimum Approximations of FIR Filters. Examples of FIR Equiripple Approximation. Comments on IIR and FIR Digital Filters. Summary.
8. The Discrete Fourier Transform.
Introduction. Representation of Periodic Sequences: the Discrete Fourier Series. Summary of Properties of the DFS Representation of Periodic Sequences. The Fourier Transform of Periodic Signals. Sampling the Fourier Transform. Fourier Representation of Finite-Duration Sequences: The Discrete-Fourier Transform. Properties of the Discrete Fourier Transform. Summary of Properties of the Discrete Fourier Transform. Linear Convolution Using the Discrete Fourier Transform. The Discrete Cosine Transform (DCT). Summary.
9. Computation of the Discrete Fourier Transform.
Introduction. Efficient Computation of the Discrete Fourier Transform. The Goertzel Algorithm Decimation-in-Time FFT Algorithms. Decimation-in-Frequency FFT Algorithms. Practical Considerations Implementation of the DFT Using Convolution. Summary.
10. Fourier Analysis of Signals Using the Discrete Fourier Transform.
Introduction. Fourier Analysis of Signals Using the DFT. DFT Analysis of Sinusoidal Signals. The Time-Dependent Fourier Transform. Block Convolution Using the Time-Dependent Fourier Transform. Fourier Analysis of Nonstationary Signals. Fourier Analysis of Stationary Random Signals: the Periodogram. Spectrum Analysis of Random Signals Using Estimates of the Autocorrelation Sequence. Summary.
11. Discrete Hilbert Transforms.
Introduction. Real and Imaginary Part Sufficiency of the Fourier Transform for Causal Sequences. Sufficiency Theorems for Finite-Length Sequences. Relationships Between Magnitude and Phase. Hilbert Transform Relations for Complex Sequences. Summary.


Destined for a standard?   May 13, 2006
 8 out of 16 found this review helpful

It is my pleasure to comment on this book which I recently purchased. I have two of Dr. Oppenheim's previous books. This book is a core integration of a topic with too many diverse starting points (mine was digital filters derived from Prony's method, not in the book by name). Dr. Bose was my first EE Professor. Alan Oppenheim was my second EE instructor. Alan (just finished MSEE at the time) had not published a book yet, but his focus was always on your questions. His product was your understanding. If this book is for your shelf, it will not harm it. If this topic is for your mind, this book was meticulously written for you.Lance Webb, PhDEE


Reference or introduction?   June 6, 2001
 13 out of 15 found this review helpful

I found this book to be an excellent fundamental text about DSP. But is it a good introductory book for beginners? Well, it depends... The book covers the essential topics in great depth and that means every one of its 800+ pages is packed with concepts and details and examples. The style is clear, but the amount of information can be a little overwhelming when you read it for the first time. If you have time, patience, a good maths background, the desire to master the subject, and someone to clarify your doubts, this can be the best first book on DSP you could ever buy. If you just want to learn the basics, and don't have much time or patience you should probably look elsewhere.