Sparse Reconstruction via Fast Bayesian Matching Pursuit

Dr. Phil Schniter - Dept. of Electrical and Computer Engineering - The Ohio State University
Communication systems

Date: -
Location: Eurecom

The problem of accurately representing a real-world signal by a concise list of numbers lies at the heart of signal processing. With bandlimited signals, for example, Nyquist theory tells us that we need to sample at twice the highest frequency. But most