Computational Harmonic Analysis

This module is designed for graduate students in applied mathematics and other related disciplines in science and engineering. It covers the following topics: discrete wavelet transform, discrete wavelet frame and tight frame, sparse approximation in redundant systems, variational methods for ill-posed inverse problems, sampling theory, compressed sensing, low rank matrix approximation, and non-local image restoration approaches.

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