EE378A: Statistical signal processing, part A

Stanford University, Spring Quarter 2012-13

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Course Overview

Themes include:

  • Bayesian inference, estimation, and hypothesis testing

  • Linear vs. non-linear, causal vs. non-causal, exact vs. approximate inference

  • Hidden Markov processes and some more general graphical models

  • Prediction, filtering, and denoising (classical and modern)