Variable step size adaptive matching pursuit algorithm for image reconstruction based on compressive sensing

Guangxue Xuebao/Acta Optica Sinica

Volumn 30, Issue 6, 2010, Pages 1639-1644

  Gao, Rui ^a   Zhao, Ruizhen ^a   Hu, Shaohai ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Compressive sensing; Matching pursuit; Reconstruction algorithm; Signal processing; Sparse representation

Indexed keywords

ADAPTIVE MATCHING; DOUBLE THRESHOLD; KEY PARTS; MATCHING PURSUIT; OTHER ALGORITHMS; RECONSTRUCTION ALGORITHMS; SIGNAL SAMPLING; SPARSE REPRESENTATION; VARIABLE STEP SIZE;

CHANNEL ESTIMATION; IMAGE RECONSTRUCTION; REPAIR; SIGNAL PROCESSING;

ADAPTIVE ALGORITHMS;

EID: 77954293849     PISSN: 02532239     EISSN: None     Source Type: Journal    
DOI: 10.3788/AOS20103006.1639     Document Type: Article

References (14)

1. R. Baraniuk. Compressive sensing[J]. IEEE Signal Proc. Mag., 2007, 24(4): 118-121
2. Zhao Ruizhen, Liu Xiaoyu, Li Chingchung et al.. Wavelet denoising via sparse representation[J]. Sci. China Ser. F., 2009, 52(8): 1371-1377
3. S. B. Chen, D. L. Donoho, M. A. Saunders. Atomic decomposition by basis pursuit[J]. Siam J. Sci. Comput., 1998, 20(1): 33-61
4. J. Tropp, A. Gilbert. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE. T. Inform. Theory, 2007, 53(12): 4655-4666
5. D. L. Donoho, Y. Tsaig, I. Drori et al.. Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit (StOMP)[C]. Tech. Report, Stanford, Department of Statistics, 2006
6. D. Needell, Vershynin R. Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit[J]. Found. Comput. Math, 2009, 9(3): 317-334
7. W. Dai, O. Milenkovic. Subspace pursuit for compressive sensing signal reconstruction[C]. 2008 5th International Symposium on Turbo Codes and Related Topics, 2008. 402-407
8. M. A. T. Fiqueiredo, R. D. Nowak, S. J. Wright. Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems[J]. IEEE J. Selected Topics in Signal Processing, 2007, 1(4): 586-598
9. T. T. Do, Lu Gan, Nam Nguyen et al.. Sparsity adaptive matching pursuit algorithm for practical compressed sensing[C]. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, 2008
10. T. Blumensath, M. E. Davies. Iterative thresholding for sparse approximation[J]. J. Fourier Anal. Appl., 2008, 14(5-6): 629-654
11. S. Kirolos, J. Laska, M. Wakin. et al.. Analog-to-information conversion via random demodulation[C]. Design, Applications, Integration and Software, IEEE Dallas/CAS Workshop on, 71-74, Oct. 2006
12. D. Needell, J. A. Tropp. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples[J]. ACM Technical Report 2008-01, California Institute of Technology, Pasadena, 2008. 7
13. Yang Fan, Zhao Ruizhen, Hu Shaohai. Adaptive algorithm for image denoising based on correlation properties of contourlet coefficients[J]. Acta Optica Sinica, 2009, 29(2): 357-361
14. T. T. Do, T. D. Trany, L. Gan. Fast compressive sampling with structurally random matrices[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Washington D.C., USA, 2008, 3369-3372