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 theuser 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.

A text for an undergraduate or early graduate course for students with a background in advanced calculus, the elements of complex numbers, and variables. Revised from the 1989 edition not so much with new information, which has not changed much at the introductory level, but with shifts of emphasis both in the topics covered and in the pedagogical features. Expands the treatment of multi-rate signal processing because of its importance in oversampled conversions between analog and digital, adds a discussion of the cosine transform used in data compression standards, and removes some material that seemed important a decade ago. Also substantially increases the number of examples and problems. Annotation c. by Book News, Inc., Portland, OR (booknews@booknews.com)

THE definitive, authoritative guide to DSP — ideal for those with an introductory-level knowledge of signals and systems — but not necessarily DSP. Written by a prominent, standard-setting team.

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.

Includes bibliographical references (p. 851-858) and index.

Previous edition TOC

 

1. Introduction.

2. Discrete-Time Signals and Systems.

3. The z-Transform.

4. Sampling of Continuous-Time Signals.

5. Transform Analysis of Linear Time-Invariant Systems.

6. Structures for Discrete-Time Systems.

7. Filter Design Techniques.

8. The Discrete Fourier Transform.

9. Computation of the Discrete Fourier Transform.

10. Fourier Analysis of Signals Using the Discrete Fourier Transform.

11. Discrete Hilbert Transforms.

Appendix A: Random Signals.

Appendix B: Continuous-Time Filters.