Discrete Time Signal Processing, 2/E

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.

List of Examples
Preface
Acknowledgments
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
App. A Random Signals
App. B Continuous-Time Filters
App. C Answers to Selected Basic Problems
Bibliography
Index