ECE 590.10: Graphical Models and Inference
Course Information
Lecture Notes, Reading, and Slides
Handouts
Other Books, Papers, and Web Resources
Miscellaneous
Factor Graphs
Coding Theory
From CDMA to Compressed Sensing (from a graphical models perspective)
Compressed Sensing (from a graphical models perspective)
Compressed Sensing by Donoho
Bayesian Compressive Sensing Via Belief Propagation by Baron, Sarvotham, and Baraniuk
Exploiting Structure in WaveletBased Bayesian Compressive Sensing by He and Carin
Message Passing Algorithms for Compressed Sensing by Donoho, Maleki, and Montanari
Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices by Krzakala, Mezard, Sausset, Sun, and Zdeborova
InformationTheoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing by Donoho, Javanmard, Montanari
Compressive Imaging using Approximate Message Passing and a MarkovTree Prior by Som and Schniter
KSAT
Linear Programming Decoding
Martingales
Available Software
Note: These packages have not been tested by me. Please give me feedback on their quality if you try them.
