Digital Signal Processing: System Analysis and Design

Digital signal processing is an essential element of key communications technologies such as mobile phones and the Internet. This text covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratio of polynomials; why an appropriate mapping of a transfer function onto a suitable structure is important for practical applications; and how to analyze, represent, and explore the tradeoff between time and frequency representation of signals.

Contents

Preface
Introduction
1. Discrete-time systems
2. The z and Fourier transforms
3. Discrete transforms
4. Digital filters
5. FIR filter approximations
6. IIR filter approximations
7. Finite precision effects
8. Multirate systems
9. Filter banks and wavelets
10. Efficient FIR structures
11. Efficient IIR structures
12. Implementation of DSP systems
Index.