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MAP SOURCE SEPARATION USING BELIEF PROPAGATION NETWORKS
MAP SOURCE SEPARATION BELIEF PROPAGATION NETWORKS
2015/9/29
In this paper we continue our treatment of source separation based on dynamic sparse source signal models. Source signals are modeled in frequency domain as a product of a Bernoulli selection variable...
Analysis of Belief Propagation for Non-Linear Problems: The Example of CDMA (or: How to Prove Tanaka’s Formula)
Binary signal and white gaussian noise spread sequence scheme of linear time
2015/8/21
We consider the CDMA (code-division multipleaccess) multi-user detection problem for binary signals and additive white gaussian noise. We propose a spreading sequences scheme based on random sparse si...
Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels
belief propagation message passing compressive sensing compressed sensing
2011/2/24
We consider spectrally-efficient communication over a Rayleigh N-block-fading channel with a K-
sparse L-length discrete-time impulse response (for 0ere neither the transmitter nor
receiv...