Algorithms for Statistical Signal Processing
저자 / PROAKIS, John G. 저
가격₩-
출간일2002.11.30
ISBN 100091200128
ISBN 136120091200128
차례
1. INTRODUCTION.
CHARACTERIZATION OF SIGNALS. CHARACTERIZATION OF LINEAR TIME-INVARIANT SYSTEMS. SAMPLING OF SIGNALS. LINEAR FILTERING METHODS BASED ON THE DFT. THE CEPSTRUM. SUMMARY AND REFERENCES. PROBLEMS.
2. ALGORITHMS FOR CONVOLUTION AND DFT.
MODU
책소개
KEEPING PACE WITH THE EXPANDING, EVER MORE COMPLEX APPLICATIONS OF DSP, THIS AUTHORITATIVE PRESENTATION OF COMPUTATIONAL ALGORITHMS FOR STATISTICAL SIGNAL PROCESSING FOCUSES ON ADVANCED TOPICS IGNORED BY OTHER BOOKS ON THE SUBJECT. ALGORITHMS FOR CONVOLUTION AND DFT. LINEAR PREDICTION AND OPTIMUM LINEAR FILTERS. LEAST-SQUARES METHODS FOR SYSTEM MODELING AND FILTER DESIGN. ADAPTIVE FILTERS. RECURSIVE LEAST-SQUARES ALGORITHMS FOR ARRAY SIGNAL PROCESSING. QRD-BASED FAST ADAPTIVE FILTER ALGORITHMS. POWER SPECTRUM ESTIMATION. SIGNAL ANALYSIS WITH HIGHER-ORDER SPECTRA. FOR ELECTRICAL ENGINEERS, COMPUTER ENGINEERS, COMPUTER SCIENTISTS, AND APPLIED MATHEMATICIANS.
