文件列表:

LICENSE (18028, 2015-04-02)
ample.m (14414, 2015-04-02)
demos (0, 2015-04-02)
demos\ample_binary_demo.m (3686, 2015-04-02)
demos\ample_em_demo.m (4090, 2015-04-02)
demos\ample_em_fourier_demo.m (4009, 2015-04-02)
demos\ample_fourier_demo.m (4851, 2015-04-02)
demos\ample_gb_demo.m (5052, 2015-04-02)
demos\ample_qary_demo.m (4454, 2015-04-02)
demos\random_scrambled_fourier.m (2154, 2015-04-02)
doc (0, 2015-04-02)
doc\ample_manual.html (24778, 2015-04-02)
doc\ample_manual.md (13231, 2015-04-02)
doc\ample_manual.pdf (213324, 2015-04-02)
priors (0, 2015-04-02)
priors\prior_binary.m (1065, 2015-04-02)
priors\prior_gb.m (1781, 2015-04-02)
priors\prior_l1sparse.m (1577, 2015-04-02)
priors\prior_qary.m (2893, 2015-04-02)

ample ===== A General implementation of Approximate Message Passing (AMP) for Matlab. ***Note:*** This repository is still under active development. There may be some hiccups. Intro ----- The goal of this problem is to provide a quick-to-use and easily generalizable implementation of the approximate message passing (AMP) algorithm.... * ***Quick-to-use:*** At its core, one only needs to provide the set of obstervations, the system which obtained those observations, and the type of signal prior. However, `ample` contains a number of options to allow the user to tailor AMP to suit their particular needs. * ***Generalizable:*** `ample` provides a framework by which the user can easily implement their own priors to fit AMP to their specific application. Acknowledgements ---------------- Many thanks to Jean Barbier and Andre Manoel for their moment and update calculations for the supplied priors. Also, special thanks to Florent Krzakala, whose ERC SPARCS 307087 grant funded this work.

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