Digital Signal Processing using MATLAB – Vinay K. Ingle, John G. Proakis – 3rd Edition

Description

In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and of problems that can effectively study in the course. Since DSP are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required.

Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored

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Table of Contents

1. Introduction.
2. Discrete-time signals and systems.
3. The discrete-time fourier analysis
4. The z-transform.
5. The discrete fourier transform.
6. Implementation of discrete-time filters.
7. Fir filter design.
8. Iir filter design.
9. Sampling rate conversion.
10. Round-off effects in digital filters.
11. Applications in adaptive filtering.
12. Applications in communications pulse-code modulation.

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