Statistical Methods in Control & Signal Processing

This readily accessible volume documents the latest developments in statistical modeling, identification, estimation, and signal processing, presenting state-of-the-art statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas. Requiring only a basic knowledge of statistics and stochastic processes, Statistical Methods in Control and Signal Processing furnishes self-contained chapters on a wide range of topics, such as subspace methods...stochastic realization...state space modeling...identification and parameter estimation...H[subscript 2] and H[subscript infinity] filtering...fuzzy modeling...statistical models of economic behavior...time-series and pattern analyses...blind deconvolution...radar and array signal processing...detection...image processing...and more. Supplemented with over 2100 references, tables, equations, drawings, and micrographs, this timely work is appropriate for electrical and electronics engineers, applied scientists in control and signal processing, applied statisticians, and upper-level undergraduate and graduate students in these disciplines. Book jacket.