计算机科学 ›› 2014, Vol. 41 ›› Issue (11): 169-174.doi: 10.11896/j.issn.1002-137X.2014.11.033
蔡旭,谢正光,蒋小燕,黄宏伟
CAI Xu,XIE Zheng-guang,JIANG Xiao-yan and HUANG Hong-wei
摘要: 压缩感知(CS)是一种新的信号采样、处理和恢复理论,能够显著地降低高频窄带信号的采样频率。针对稀疏度未知信号的重建,提出了步长自适应前向后向追踪(AFBP)算法。不同于固定步长前向后向追踪(FBP)算法,AFBP的步长可变。它利用一种自适应阈值的方法选取前向步长,然后对候选支撑集进行正则化处理以保证其可靠性,接着用自适应阈值与变步长双向控制的方法选取后向步长以减少重建时间。AFBP能够自适应后向删除估计支撑集中部分错误索引以提高信号准确重建概率。在稀疏信号非零值服从常见分布条件下,用AFBP、FBP等算法进行重建的结果表明,AFBP的准确重建概率、重建精度与FBP相当,重建时间明显少于FBP,能够更高效地重建稀疏度未知信号。
[1] Candes E,Romberg J,Tao T.Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J].IEEE Transactions on Information Theory,2006,52(2):489-509 [2] Donoho D.Compressed Sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306 [3] 石光明,刘丹华,高大化,等.压缩感知理论及其研究进展[J].电子学报,2009,37(5):1070-1081 [4] Candes E,Tao T.Decoding by Linear Programming[J].IEEE Transactions on Information Theory,2005,51(12):4203-4215 [5] Tropp J,Gilbert A.Signal Recovery from Random Measure-ments via Orthogonal Matching Pursuit[J].IEEE Transactions on Information Theory,2007,53(12):4655-4666 [6] Needell D,Vershynin R.Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit[J].Foundations of Computational Mathematics,2009,9(3):317-334 [7] Donoho D,Tsaig Y,Drori I,et al.Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit[J].IEEE Transactions on Information Theory,2012,58(2):1094-1121 [8] Dai W,Milenkovic O.Subspace Pursuit for Compressive Sensing Signal Reconstruction[J].IEEE Transactions on Information Theory,2009,55(5):2230-2249 [9] Needell D,Tropp J.CoSaMP:Iterative Signal Recovery from In-complete and Inaccurate Samples[J].Applied and ComputationalHarmonic Analysis,2009,26(3):301-321 [10] Do T,Lu G,Nguyen N,et al.Sparsity Adaptive Matching Pursuit Algorithm for Practical Compressed Sensing[C]∥Pacific Grove.Conference Record of the Asilomar Conference on Signals,Systems and Computers.California:IEEE,2008:581-587 [11] Maleki A,Donoho D.Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing[J].Selected Topics in Signal Processing,IEEE Journal of,2010,4(2):330-341 [12] 姚远,梁志毅.基于压缩感知信号重建的自适应空间正交匹配追踪算法[J].计算机科学,2012,39(10):50-53 [13] Karahanoglu N,Erdogan H.Compressed sensing signal recovery via forward-backward pursuit[J].Digital Signal Processing,2013,23(5):1539-1548 |
No related articles found! |
|