Statistical Methods in Control & Signal Processing
Tohru Katayama, Sueo Sugimoto · 2018
From the Publisher: 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[actual symbol not reproducible] 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.