Sparse Bayesian learning using correlated hyperparameters for recovery of block sparse signals
Authors:
- Hongyu CuiHCHongyu Cui
- Huiping DuanHDHuiping Duan
- 1 September 2017
- journal article
- Published by Elsevier in Digital Signal Processing
- Vol. 68, 24-30
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (61201274)
- 111 Project (B17008)
This publication has 17 references indexed in Scilit:
- Low complexity sparse Bayesian learning using combined belief propagation and mean field with a stretched factor graphSignal Processing, 2017
- Sparse signal reconstruction via concave continuous piecewise linear programmingDigital Signal Processing, 2016
- Sparse representations and sphere decoding for array signal processingDigital Signal Processing, 2012
- Block-Sparse Signals: Uncertainty Relations and Efficient RecoveryIEEE Transactions on Signal Processing, 2010
- Bayesian Compressive Sensing Via Belief PropagationIEEE Transactions on Signal Processing, 2009
- Blind Multiband Signal Reconstruction: Compressed Sensing for Analog SignalsIEEE Transactions on Signal Processing, 2009
- Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA MicroarraysIEEE Journal of Selected Topics in Signal Processing, 2008
- Bayesian Compressive SensingIEEE Transactions on Signal Processing, 2008
- An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation ProblemIEEE Transactions on Signal Processing, 2007
- Harmonic decomposition of audio signals with matching pursuitIEEE Transactions on Signal Processing, 2003