Thesis Title: Bayesian Sparse Signal Recovery using Scale Mixtures with Applications to Speech
Graduate coursework: Probability theory, Random Processes, Principles of Artificial Intelligence:Probabilistic Reasoning, Parameter Estimation, Convex Optimization, Principles of Artificial Intelligence: Learning, Statistical Learning, Unsupervised Learning, Bayesian Methods, Digital Signal Processing I, Digital Signal Processing II: Adaptive Filtering, Filter Banks and Wavelets, Special Topics in Multimodal/Vision Systems, Compressed Sensing and Sparsity.
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