References
-
D. L. Donoho, "For most large underdetermined systems of linear equations, the minimum
$\ell_{1}$ ‐norm solution is also the sparsest solution," Communications on Pure and Applied Mathematics, vol. 59, no. 6, pp. 797-829, 2006. https://doi.org/10.1002/cpa.20132 - Y. H. Zhong, Z. Y. Huang, B. Zhu, and H. Wu, "Sparse channel estimation of single carrier frequency division multiple access based on compressive sensing," Journal of Information Processing Systems, vol. 11, no. 3, pp. 342-353, 2015. https://doi.org/10.3745/JIPS.03.0028
- F. Parvaresh, H. Vikalo, S. Misra, and B. Hassibi, "Recovering sparse signals using sparse measurement matrices in compressed DNA microarrays," IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 3, pp. 275-285, 2008. https://doi.org/10.1109/JSTSP.2008.924384
- E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information," IEEE Transactions on Information Theory, vol. 52, no. 2, pp. 489-509, 2006. https://doi.org/10.1109/TIT.2005.862083
- E. Candes and T. Tao, "Decoding by linear programming," IEEE Transactions on Information Theory, vol. 51, no. 2, pp. 4203-4215, 2005. https://doi.org/10.1109/TIT.2005.858979
- D. L. Donoho, "Compressed sensing," IEEE Transactions on Information Theory, vol. 52, no. 4, pp. 1289-1306, 2006. https://doi.org/10.1109/TIT.2006.871582
- S. S. Chen, D. L. Donoho, and M. A. Saunders, "Atomic decomposition by basis pursuit," SIAM Journal on Scientific Computing, vol. 20, no. 1, pp. 33-61, 1998. https://doi.org/10.1137/S1064827596304010
- J. A. Tropp and A. C. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Transactions on Information Theory, vol. 53, no. 12, pp. 4655-4666, 2007. https://doi.org/10.1109/TIT.2007.909108
- D. L. Donoho, Y. Tsaig, I. Drori, and J. L. Starck, "Sparse solutions of underdetermined linear equations by stagewise orthogonal matching pursuit," IEEE Transactions on Information Theory, vol. 58, no. 2, pp. 1094- 1120, 2012. https://doi.org/10.1109/TIT.2011.2173241
- D. Needell and R. Vershynin, "Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit," Foundations of Computational Mathematics, vol. 9, no. 3, pp. 317-334, 2009. https://doi.org/10.1007/s10208-008-9031-3
- D. Needell and J. A. Tropp, "CoSaMP: iterative signal recovery from incomplete and inaccurate samples," Applied and Computational Harmonic Analysis, vol. 26, no. 3, pp. 301-321, 2009. https://doi.org/10.1016/j.acha.2008.07.002
- W. Dai and O. Milenkovic, "Subspace pursuit for compressive sensing signal reconstruction," IEEE Transactions on Information Theory, vol. 55, no. 5, pp. 2230-2249, 2009. https://doi.org/10.1109/TIT.2009.2016006
- H. Huang and A. Makur, "Backtracking-based matching pursuit method for sparse signal reconstruction," IEEE Signal Processing Letters, vol. 18, no. 7, pp. 391-394, 2011. https://doi.org/10.1109/LSP.2011.2147313
- H. Mohimani, M. Babaie-Zadeh, and C. Jutten. "A fast approach for overcomplete sparse decomposition based on smoothed l0-norm," IEEE Transactions on Signal Processing, vol. 57, no. 1, pp. 289-301, 2009. https://doi.org/10.1109/TSP.2008.2007606
- Y. C. Eldar and P. Kuppinger, "Block-sparse signals: uncertainty relations and efficient recovery," IEEE Transactions on Signal Processing, vol. 58, no. 6, pp. 3042-3054, 2010. https://doi.org/10.1109/TSP.2010.2044837
- M. Mishali and Y. C. Eldar, "Blind multi-band signal reconstruction: compressed sensing for analog signals," IEEE Transaction on Signal Processing, vol. 57, no. 3, pp. 993-1009, 2009. https://doi.org/10.1109/TSP.2009.2012791
- S. F. Cotter and B. D. Rao, "Sparse channel estimation via matching pursuit with application to equalization," IEEE Transactions on Communication, vol. 50, no. 3, pp. 374-377, 2002. https://doi.org/10.1109/26.990897
- Y. C. Eldar and M. Mishali, "Robust recovery of signals from a structured union of subspaces," IEEE Transactions on Information Theory, vol. 55, no. 11, pp. 5302-5316, 2009. https://doi.org/10.1109/TIT.2009.2030471
- Z. Zeinalkhani and A. H. Banihashemi, ''Iterative reweighted l2/l1 recovery algorithms for compressed sensing of block sparse signals," IEEE Transactions on Signal Processing, vol. 63, no. 17, pp. 4516-4531, 2015. https://doi.org/10.1109/TSP.2015.2441032
- S. Hamidi-Ghalehjegh, M. Babaie-Zadeh, and C. Jutten, "Fast block-sparse decomposition based on SL0," in Proceedings of 9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), St. Malo, France, 2010, pp. 426-433.
- R. G. Baraniuk, V. Cevher, M. F. Duarte, and C. Hegde, "Model-based compressive sensing," IEEE Transactions on Communication, vol. 56, no. 4, pp. 1982-2001, 2010.
- B. X. Huang and T. Zhou, "Recovery of block sparse signals by a block version of StOMP," Signal Processing, vol. 106, pp. 231-244, 2015. https://doi.org/10.1016/j.sigpro.2014.07.023
-
Y. Wang, J, Wang, and Z. Xu, "On recovery of block-sparse signals via mixed
$\ell_{2}/\ell_{q}$ ($0 https://doi.org/10.1186/1687-6180-2013-1) norm minimization," EURASIP Journal on Advances in Signal Processing, vol. 2013, article no. 76, pp. 1-17, 2013.
- H. Yin, S. Li, and L. Fang, "Block-sparse compressed sensing: non-convex model and iterative re-weighted algorithm," Inverse Problems in Science and Engineering, vol. 21, no. 1, pp. 141-154, 2013. https://doi.org/10.1080/17415977.2012.677444