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


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

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

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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