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 | | Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series) by Alan V. Oppenheim, Ronald W. Schafer, John R. Buck ISBN-10: 9780137549207 ISBN-10: 0-13-754920-2 ISBN-13: 9780137549207 ISBN-13: 978-0-13-754920-7 Hardcover 1999-01-10 Prentice Hall Find Lowest Price |
Editorials | ||
Amazon.com This is the standard text for introductory advanced undergraduate and first-year graduate level courses in signal processing. The text gives a coherent and exhaustive treatment of discrete-time linear systems, sampling, filtering and filter design, reconstruction, the discrete-time Fourier and z-transforms, Fourier analysis of signals, the fast Fourier transform, and spectral estimation. The author develops the basic theory independently for each of the transform domains and provides illustrative examples throughout to aid the reader. Discussions of applications in the areas of speech processing, consumer electronics, acoustics, radar, geophysical signal processing, and remote sensing help to place the theory in context. The text assumes a background in advanced calculus, including an introduction to complex variables and a basic familiarity with signals and linear systems theory. If you have this background, the book forms an up-to-date and self-contained introduction to discrete-time signal processing that is appropriate for students and researchers. Discrete-Time Signal Processing also includes an extensive bibliography. | ||
Reviews | ||
Comprehensive book on DSP This is a comprehensive book on DSP. It is perhaps too much for a student approaching DSP for the first time but it is a very useful text for advanced students. It is also a good reference on the subject. Beginners would do well to go through the elementary book Signal Processing First by one of the authors Schafer before tackling this book. | ||
Discrete-Time Signal Processing I've used D.T.S.P. for a course and found it very satisfying. I've also read the Schaum's Outline by Monson Hayes and "Understanding Digital Signal Processing" by Richard Lyons, but I wouldn't recommend them to anyone really interested in the subject. This book can appear more intimidating at a first glance, but chances are that is just the fear of a mind not accustomed to precise, throughout exposition. Actually, such preciseness is the only way to really understand a subject and it is much harder to learn something without it (although, it's easier to delude oneself into thinking that one is learning). While studying on the Hayes' book I often found myself trying to reconstruct the steps taken to build and use a mathematical representation of a problem, and realizing that there were some informations I was missing; that the exposition made sense only as long as I didn't put it under a magnifying glass to see the holes. As my interest for DSP and my hunger for thoroughness grew I had to turn more and more to the Oppenheim-Schafer in order to find the missing steps, until I decided that it would have been easier to use it as my primary book. As for the requirements, there isn't really much: some basic calculus and, for some chapters, a knowledge of analog systems - something that you have probably already studied if you are doing this for university, and something that you should study if you are a diy enthusiast. If this isn't your biggest interest and you only need to pass an exam, the Schaum's outline should be enough. If you want to build a solid foundation in DSP design, acquire new mathematical models and the skill to use them (in my opinion this is a central part in increasing one's intelligence) use this book. | ||
Alright, let's say it's okay The electrical engineering approach to teaching a subject can often be quite rugged in comparison with the other hard sciences. I believe that for many students, an honest and unbiased appreciation of this text takes quite a bit more time than other hard science texts. Treating this book with respect and his or her instructor with reverence, the talented student who dedicates herself or himself to be a disciple of DSP will profit from Discrete-Time Signal Processing. | ||
Destined for a standard? 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 | ||
Six star book on Digital Signal Processing 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. | ||