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Reconstructing Structured Sparse Signals from Compressive Samples via a Max-Product EM Algorithm
Belief propagation expectation maximization (EM) algorithm hidden Markovtree(HMT) max-productalgo-rithm,structured sparsity,sparse signal reconstruction.
2012/9/22
We propose a Bayesian expectation-maximization (EM) algorithm for reconstructing structured approximately sparse signals via belief propagation. The measurements follow an underdetermined linear model...
How to produce discreet Gaussian sequences: Algorithm and code
gaussian distribution random sequence algorithm code
2011/7/17
Abstract: Algorithm and code to produce sequences whose members obey Gaussian distribution function is reported. Discreet and limited number of groups are defined in the distribution function, where e...
Median Algorithm for Sector Spectra Calculation from Images Registered by the Spectral Airglow Temperature Imager
Spectral Airglow Temperature imager sector temperature sector spectre median filter
2011/7/11
Abstract: The Spectral Airglow Temperature Imager is an instrument, specially designed for investigation of the wave processes in the Mesosphere-Lower Thermosphere. In order to determine the kinematic...
A simple protocol for the probability weights of the simulated tempering algorithm: applications to first-order phase transitions
simulated tempering first-order phase transitions eigenvalues of the transfer matrix Ising and lattice-gas models
2010/11/11
The simulated tempering (ST) is an important method to deal with systems whose phase spaces are hard to sample ergodically. However, it uses accepting probabilities weights which often demand involvin...