EECS 225A: Statistical Signal Processing

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This course connects classical statistical signal processing (Hilbert space filtering theory by Wiener and Kolmogorov, state space model, Kalman filter, adaptive filtering) with modern statistical and machine learning theory and applications. It focuses on concrete algorithms and combines principled theoretical thinking with real applications.