Table of Content

1. Discrete-Time Signals and Systems
2. The Z-Transform
3. Sampling of Continuous-Time Signals
4. Transform Analysis Linear Time-Invariant Systems
5. Structures for Discrete-Time Systems
6. Filter Design Techniques
7. The Discrete Fourier Transform
8. Computation of The Discrete Fourier Transform
9. Fourier Analysis of Signals Using the Discrete Fourier Transform
10. Discrete Hilbert Transforms

Salient Features

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.