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For senior/graduate-level courses in Discrete-Time Signal Processing. THE definitive, authoritative text on DSP - ideal for those with an introductory-level knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field -without limiting itself to specific technologies with relatively short life spans.
- Sales Rank: #620727 in Books
- Published on: 1999-01-10
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.56" h x 1.50" w x 7.58" l,
- Binding: Hardcover
- 870 pages
Amazon.com Review
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.
From the Publisher
A thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis.
From the Back Cover
THE definitive, authoritative book on DSP — ideal for those with an introductory-level knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field — without limiting itself to specific technologies with relatively short life spans.
FEATURES
- NEW—Provides a new chapter organization.
- NEW—Material on:
- Multi-rate filtering banks.
- The discrete cosine transform.
- Noise-shaping sampling strategies.
- NEW—Includes several dozen new problem-solving examples that not only illustrate key points, but demonstrate approaches to typical problems related to the material.
- NEW—Contains a wealth of "combat tested" problems which are the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech.
- NEW—Problems are completely reorganized by level of difficulty into separate categories:
- Basic Problems with Answers to allow the user to check their results, but not solutions (20 per chapter).
- Basic Problems — without answers.
- Advanced Problems.
- Extension Problems — start from the discussion in the book and lead the reader beyond to glimpse some advanced areas of signal processing.
- Covers the history of discrete-time signal processing as well as contemporary developments in the field.
- Discusses the wide range of present and future applications of the technology.
- Focuses on the general and universal concepts in discrete-time signal processing.
- Offers a wealth of problems and examples.
Most helpful customer reviews
46 of 46 people found the following review helpful.
DTSP vs. DSP by Oppenheim and Schafer
By Raymond Woo
I am referring here to the Digital Signal Processing (DSP) that the authors wrote in the 1970's or earlier versus the more recent editions of Discrete-Time Signal Processing (DTSP).
I have both the DSP version and the 1st edition of DTSP, and used them for coursework. From my personal recollection: I tried to take an introductory graduate-level DSP course twice, once with the old DSP text (but did not get to finish), and the second time completing the course from another college with the DTSP text. DSP, in spite of its introductory and pioneering nature, turned out to be the more readable and better organized textbook among the two. It is shorter by many pages, less verbose, less "heavy and circular in arguments", and quicker to come to the point, not to mention being clearer, more lucid, and well-illustrated with good examples and diagrams without overwhelming the reader. The beginning chapters are well written with introduction to the applications of Complex Variables in the context of DSP as an EE subject. In short, DSP by Oppenheim and Schafer is the less ambitious book of the two, but really accomplishes much more by doing less and focusing on the essential concepts underlying DSP.
I can see why and where many beginning EE Signal Processing students tend to get frustrated. DTSP, 1st edition, is actually a rewritten version of DSP, albeit meant to be a major extension (or expansion, if you wish) with more applications appended and "heavier expositions". (This reminds me of many other books by MIT EE faculty on the market.) I find the most frustrating part of DTSP is the chapters on transcending from the Discrete Fourier Transform (DFT) to Fast Fourier Transform (FFT). Why? All you have to do is look at the way the authors present the DFT, then get to understand the truncated DFT, and try to follow the steps that supposedly get one toward FFT's - not at all clear or well-connected conceptually. It is even more obvious when one tries to do the moderately difficult and somewhat tedious exercises at the back of each chapter. While it is true that DTSP appears superficially "precise and rigorous", I find it a bit convoluted and too ambitious in its treatment of digital signal processing topics, indicative of a desire to reflect trappings of the latest applications by demonstrating the power of the theory presented. Why not just return to the fundamentals of DSP and limit the topics to a manageable level, thereby retaining a high degree of visibility for the more average EE student. (Maybe DTSP was meant to be taught by the authors themselves, or by their Ph.D. students. That way, the obscure points, discussions and topics in the textbook could be explained away in live classroom lectures via student interactions. Right?) In spite of all this, I think DTSP has intrinsic value in EE Signal Processing, being that it retained much of the key concepts in the older DSP text with some original flavor.
Suggestion to authors: Write another book on DSP, but limit the book to concepts and some elementary applications, just like the 1970's original, or better still edit and update the original to be published as an inexpensive classic by, say, Dover. Rewrite DTSP as the follow-on textbook. How about it? I really miss the lucid style of the more original DSP textbook by the authors. And I mean it, seriously!
32 of 33 people found the following review helpful.
Six star book on Digital Signal Processing
By calvinnme
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.
41 of 45 people found the following review helpful.
Not a beginners book
By Amazon Customer
Although the authors say this book could be used as an introductory text in DSP, it is not. This book is a no nonsense approach towards DSP. You need firm grounding in calculus, signals and systems to be close to even understand what the authors intend to say.
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.
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