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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.
2012/11/22
We propose a Bayesian expectation-maximization (EM) algorithm for reconstructing structured approximately sparse signals via belief propagation. The measurements follow an underdetermined linear model...
Reconstructing signals from noisy data with unknown signal and noise covariance
statistics information theory statistical mechanics
2011/8/17
Abstract: We derive a method to reconstruct Gaussian signals from linear measurements with Gaussian noise. This new algorithm is intended for applications in astrophysics and other sciences. The start...
Reconstructing the massive black hole cosmic history through gravitational waves
massive black hole cosmic history gravitational waves
2010/12/21
The massive black holes we observe in galaxies today are the natural end-product of a complex
evolutionary path, in which black holes seeded in proto-galaxies at high redshift grow through
cosmic hi...
Reconstructing Equation of State for Dark Energy in Double Complex Symmetric Gravitational Theory
double complex symmetric gravitational theory equation of state dark energy
2007/8/15
2007Vol.47No.6pp.1148-1152DOI:
Reconstructing Equation of State for Dark Energy in Double Complex Symmetric Gravitational Theory
SHAO Ying, GUI Yuan-Xing, and WANG Wei
D...