Course

EE-726: Sparse stochastic processes

Summary

We cover the theory and applications of sparse stochastic processes (SSP). SSP are solutions of differential equations driven by non-Gaussian innovations. They admit a parsimonious representation in a wavelet basis and are relevant to coding, compressed sensing, and biomedical imaging.

Official source

https://edu.epfl.ch/coursebook/en/sparse-stochastic-processes-EE-726

Moodle Page

http://go.epfl.ch/EE-726

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