Fusion of algorithms for multiple measurement vectors
作者： K. G. Deepa , Sooraj K. Ambat , K.V.S. Hari
DOI: 10.1109/ICASSP.2016.7472555
关键词:
摘要: We consider the recovery of sparse signals that share a common support from multiple measurement vectors. The performance several algorithms developed for this task depends on parameters like dimension signal, vector, sparsity level, noise. propose fusion framework, where vector reconstruction participate and final signal estimate is obtained by combining estimates participating algorithms. present conditions achieving better than Numerical simulations demonstrate our algorithm often performs
sci-hub.st 参考文章(18)
Sooraj K. Ambat, K. V. S. Hari, Saikat Chatterjee, Fusion of Greedy Pursuits for compressed sensing signal reconstruction european signal processing conference. pp. 1434- 1438 ,(2012)
Joel A. Tropp, Anna C. Gilbert, Martin J. Strauss, Algorithms for simultaneous sparse approximation: part I: Greedy pursuit Signal Processing. ,vol. 86, pp. 572- 588 ,(2006) , 10.1016/J.SIGPRO.2005.05.030
Sooraj K. Ambat, Saikat Chatterjee, K. V. S. Hari, A Committee Machine Approach for Compressed Sensing Signal Reconstruction IEEE Transactions on Signal Processing. ,vol. 62, pp. 1705- 1717 ,(2014) , 10.1109/TSP.2014.2303941
Sooraj K. Ambat, Saikat Chatterjee, K.V.S. Hari, Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing Signal Processing. ,vol. 97, pp. 146- 151 ,(2014) , 10.1016/J.SIGPRO.2013.10.019
Sooraj K. Ambat, Saikat Chatterjee, K.V. S. Hari, Fusion of Algorithms for Compressed Sensing international conference on acoustics, speech, and signal processing. ,vol. 61, pp. 3699- 3704 ,(2013) , 10.1109/TSP.2013.2259821
Irina F. Gorodnitsky, John S. George, Bhaskar D. Rao, Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm Electroencephalography and Clinical Neurophysiology. ,vol. 95, pp. 231- 251 ,(1995) , 10.1016/0013-4694(95)00107-A
Ewout van den Berg, Michael P. Friedlander, Probing the Pareto Frontier for Basis Pursuit Solutions SIAM Journal on Scientific Computing. ,vol. 31, pp. 890- 912 ,(2008) , 10.1137/080714488
D. Malioutov, M. Cetin, A.S. Willsky, A sparse signal reconstruction perspective for source localization with sensor arrays IEEE Transactions on Signal Processing. ,vol. 53, pp. 3010- 3022 ,(2005) , 10.1109/TSP.2005.850882
E.J. Candes, M.B. Wakin, An Introduction To Compressive Sampling IEEE Signal Processing Magazine. ,vol. 25, pp. 21- 30 ,(2008) , 10.1109/MSP.2007.914731
I.F. Gorodnitsky, B.D. Rao, Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm IEEE Transactions on Signal Processing. ,vol. 45, pp. 600- 616 ,(1997) , 10.1109/78.558475