Non Convex Algorithms for Group Sparse Optimization 1.0

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Non Convex Optimization Algorithms for Group SparsitySolves a dummy OFDM sparse channel estimation problemReweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = AxReweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_qSmoothed L2,0 algorithm solves a smooth version ofmin||x||_2,0 s.t. y = AxReweigted Lm,p is an extension of the Lp algorithm proposed in:Rick Chartrand and Wotao Yin, "Iteratively reweighted algorithms for compressive sensing", in 33rd International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008Smoothed L2,0 is the group version of the SL0 algorithm:Hossein Mohimani, Massoud Babaie-Zadeh, Christian Jutten, "A fast approach for overcomplete sparse decomposition based on smoothed L0 norm", IEEE Transactions on Signal Processing, Vol.57, No.1, January

Requirements: No special requirements

Platforms: Matlab

Keyword: 20 St, 2p St, 3d, Acoustics Speech, Algorithm, Algorithm Proposed, Algorithm Solves, Algorithms, Extension, International, Signal Processing, Signal Processing Vol, Sl0, Smooth Version, Smoothed, Sparse Channel Estimation, Y Ax, Yin

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