Discrete-Time Signal Processing (3rd Edition)

Description

For senior/graduate-level courses in Discrete-Time Signal Processing.

Discrete-Time Signal Processing, Third Edition is the definitive, authoritative text on DSP – ideal for those with 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.

Key Features

• Chapter organization is self-contained. A background of advanced calculus and exposure to linear system theory for continuous-time signals is inferred. The text assumes that students have no prior exposure to discrete time signals, z-transforms, discrete Fourier transforms and the like.
• Coverage focuses on both the general and universal concepts in discrete-time signal processing. Material is included on multi-rate filtering banks, the discrete cosine transform, and noise-shaping sampling strategies.
• Covers the full spectrum of discrete-time-signal processing, including the history of discrete-time signal processing, contemporary developments in the field, and the wide range of both present and future applications of the technology.
• Dozens of problem-solving examples illustrate key points as well as demonstrating approaches to typical problems related to the material.
• A wealth of class-tested problems represent the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech.
• Problems are organized by level of difficulty into separate categories: Basic Problems with answers to let students check their results; Basic Problems without answers; Advanced Problems; and Extension Problems.

Table of Contents

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. Parametric Signal Modeling
12. Discrete Hilbert Transforms
13. Cepstrum Analysis and Homomorphic Deconvolution
14. Appendix A. Random Signals
15. Appendix B. Continuous-Time Filters
16. Appendix C. Answers to Selected Basic Problems