Table of contents:
Forward. Preface. Introduction. Least Squares, Orthogonality, and the Fourier Series. Continuous and Discrete Transforms and Signal Processing Systems. Digital Filters. Statistical Signal Processing. Least-Squares System Design. Adaptive Signal Processing. Coding and Compression.
Designed for a one-semester course on digital signal processing, Digital Signal Processing with Examples in MATLAB, uses the industry-standard MATLAB software package to provide examples of signal processing, transforms and spectral analysis, digital system design, digital filtering, adaptive filtering, coding and compression algorithms, and solutions to exercises. Complete, self-contained, and rigorous, the book includes a concise MATLAB tutorial and in addition to basic DSP theory and applications, introduces topics not usually addressed in DSP texts, including discrete cosine and wavelet transforms, coding and compression of signals, multirate processing, least squares systems design, and adaptive signal processing. MATLAB examples, functions, and solutions are available for download from the Internet.
Forward. Preface. Introduction. Least Squares, Orthogonality, and the Fourier Series. Continuous and Discrete Transforms and Signal Processing Systems. Digital Filters. Statistical Signal Processing. Least-Squares System Design. Adaptive Signal Processing. Coding and Compression.
Designed for a one-semester course on digital signal processing, Digital Signal Processing with Examples in MATLAB, uses the industry-standard MATLAB software package to provide examples of signal processing, transforms and spectral analysis, digital system design, digital filtering, adaptive filtering, coding and compression algorithms, and solutions to exercises. Complete, self-contained, and rigorous, the book includes a concise MATLAB tutorial and in addition to basic DSP theory and applications, introduces topics not usually addressed in DSP texts, including discrete cosine and wavelet transforms, coding and compression of signals, multirate processing, least squares systems design, and adaptive signal processing. MATLAB examples, functions, and solutions are available for download from the Internet.