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1. Introduction
2. Least Squares, Orthogonality, and the Fourier Series
3. Correlation, Fourier Spectra, and the Sampling Theorem
4. Linear Systems and Transfer Functions
5. FIR Filter Design
6. IIR Filter Design
7. Random Signals and Spectral Estimation
8. Least-Squares System Design
9. Adaptive Signal Processing
10. Signal Information, Coding, and Compression
11. Models of Analog Systems
12. Pattern Recognition with Support Vector Machines
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This book explains the fundamentals of digital signal processing and how to apply DSP to the design of signal processing systems. Using the booka (TM)s accompanying software, readers can implement basic signal processing operations, including spectral analysis and modeling. This second edition features new sections on simulation of continuous systems, the Chirp-z transform, linear and logarithmic sampling and resampling, the discrete sine transform, spread-spectrum techniques, digital differentiation, and integration. It also includes more information on the power density spectrum, implementation of the FFT, and the equation error method in adaptive signal processing.
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