Discrete-time Stochastic Systems

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Discrete-time Stochastic Systems offers a thorough introduction to the estimation and control of dynamic stochastic systems, covering Wiener filtering, state-space methods, and polynomial approaches. It includes algorithms for analysis, spectral factorization, and complex-valued models for signal processing, making it valuable for M.Sc. students and self-study.