[1] |
NYQUIST H. Certain topics in telegraph transmission theory[J]. Proceedings of the IEEE, 2002,90(2):280-305.
|
[2] |
龚沿东. 电子探针 (EPMA) 简介[J]. 电子显微学报, 2010,29(6):578-580.
|
[3] |
DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006,52(4):1289-1306.
|
[4] |
CANDES E J, 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.
|
[5] |
BARANIUK R G. Compressive sensing[J]. IEEE Signal Processing Magazine, 2007,24(4):118-120.
|
[6] |
CANDES E. Compressive sampling[C]// Proceedings of the 2006 International Congress of Mathematicians. 2006:1433-1452.
|
[7] |
LUSTIG M, DONOHO D L, PAULY J M. Sparse MRI: The application of the 2006 compressed sensing for rapid MR imaging[J]. Magnetic Resonance in Medicine, 2007,58(6):1182-1195.
|
[8] |
LUSTIG M, DONOHO D L, SANTOS J M, et al. Compressed sensing MRI[J]. IEEE Signal Processing Magazine, 2008,25(2):72-82.
|
[9] |
〖JP+1〗CUKUR T. Accelerated phase-cycled SSFP imaging with compressed sensing[J]. IEEE Transactions on Medical Imaging, 2015,34(1):107-115.
|
[10] |
LI X W, LAN X G, YANG M, et al. Efficient lossy compression for compressive sensing acquisition of images in compressive sensing imaging systems[J]. Sensors, 2014,14(12):23398-23418.
|
[11] |
LIU J H, XU S K, GAO X Z, et al. Compressive radar imaging methods based on fast smoothed L0 algorithm[J]. Procedia Engineering, 2012,29:2209-2213.
|
[12] |
WU Q S, ZHANG Y M D, AHMAD F, et al. Compressive-sensing-based high-resolution polarimetric through-the-wall radar imaging exploiting target characteristics[J]. IEEE Antennas and Wireless Propagation Letters, 2015,14:1043-1047.
|
[13] |
LI S Y, ZHAO G Q, LI H M, et al. Near-field radar imaging via compressive sensing[J]. IEEE Transactions on Antennas and Propagation, 2015,63(2):828-833.
|
[14] |
COSKUN A F, SENCAN I, SU T W, et al. Lensless wide-field fluorescent imaging on a chip using compressive decoding of sparse objects[J]. Optics Express, 2010,18(10):10510-10523.
|
[15] |
DUARTE M F, DAVENPORT M A, TAKHAR D, et al. Single-pixel imaging via compressive sampling[J]. IEEE Signal Processing Magazine. 2008,25(2):83-91.
|
[16] |
LUO Y, ZHANG Q, HONG W, et al. Waveform design and high-resolution imaging of cognitive radar based on compressive sensing[J]. Science China (Information Sciences), 2012,55(11):2590-2603.
|
[17] |
HAUPT J, BAJWA W U, RABBAT M, et al. Compressed sensing for networked data[J]. IEEE Signal Processing Magazine, 2008,25(2):92-101.
|
[18] |
王强,张培林,王怀光,等. 压缩感知中测量矩阵构造综述[J]. 计算机应用, 2017,37(1):188-196.
|
[19] |
BLUMENSATH T, DAVIES M E. Stagewise weak gradient pursuits[J]. IEEE Transactions on Signal Processing, 2009,57(11):4333-4346.
|
[20] |
石曼曼,李雷,徐静妹. 基于模糊阈值的回溯分段弱正交匹配追踪算法[J]. 电视技术, 2018,42(2):5-9.
|
[21] |
贺绍琪,崔建峰,史文武,等. 部分哈达玛矩阵分段弱正交匹配追踪算法[J/OL]. 计算机辅助设计与图形学学报, 2020,32(8):1342-1348[2020-08-23]. http://kns.cnki.net/kcms/detail/11.2925.TP.20200609.0954.002.html.
|
[22] |
王烈,罗文,秦伟萌. 分段弱选择自适应正交匹配追踪算法[J]. 计算机工程与设计, 2018,39(12):3767-3773.
|
[23] |
王顶,吴玥瑶,曹旺辉,等. 基于Dice匹配的SWOMP压缩感知重构算法[J]. 西北工业大学学报, 2017,35(5):774-779.
|
[24] |
侯成艳. 基于Dice系数的压缩感知重构算法研究及其应用[D]. 合肥:安徽大学, 2019.
|
[25] |
江晓林,唐征宇,渠苏苏. 基于SWOMP分段回溯的压缩感知改进算法[J]. 黑龙江科技大学学报, 2019,29(4):501-505.
|
[26] |
ZHANG Y Y, SUN G L. Stagewise arithmetic orthogonal matching pursuit[J]. International Journal of Wireless Information Networks, 2018,25(2):221-228.
|
[27] |
CANDES E J, TAO T. Decoding by linear programming[J]. IEEE Transactions on Information Theory, 2005,51(12):4203-4215.
|
[28] |
陈秋芳,祖兴水,李宝清. 一种自适应的弱选择压缩采样匹配追踪算法[J]. 电子设计工程, 2016,24(11):150-153.
|
[29] |
吴赟. 压缩感知测量矩阵的研究[D]. 西安:西安电子科技大学, 2012.
|
[30] |
DONOHO D L, 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.
|
[31] |
姚瑶. 匹配追踪和基追踪算法在薄储层反演中的研究与应用[D]. 成都:成都理工大学, 2019.
|
[32] |
雷丽婷,李刚,蒋常升,等. 基于CS的稀疏度变步长自适应压缩采样匹配追踪算法[J]. 计算机应用与软件, 2020,37(08):260-264.
|
[33] |
徐志强,蒋铁钢,杨立波. 基于随机支撑挑选的广义正交匹配追踪算法[J]. 计算机应用, 2020,40(4):1104-1108.
|
[34] |
钱秋亮,董宝伟,邵馨叶,等. 基于余弦相似度的正交匹配追踪算法研究[J]. 数据通信, 2020(3):4-6.
|
[35] |
WEN J M, ZHANG R, YU W. Signal-dependent performance analysis of orthogonal matching pursuit for exact sparse recovery[J]. IEEE Transactions on Signal Processing, 2020,68:5031-5046.
|
[36] |
荣光李,黄尉. 基于子空间追踪算法的稀疏子空间聚类[J]. 合肥工业大学学报(自然科学版), 2019,42(7):999-1004.
|
[37] |
李雪晴,丁佳静,武雪姣. 稀疏度自适应分段正交匹配追踪算法改进[J]. 软件工程, 2019,22(7):6-8.
|
[38] |
ZHANG L M, PAN F Z. A new method of images super-resolution restoration by neural networks[C]// Proceedings of the 9th International Conference on Neural Information Processing. IEEE, 2002,5: 2414-2418.
|
[39] |
〖KG-*5〗SUNDARESHAN M K. Computationally efficient image restoration and super-resolution algorithms for real-time implementation[C]// Proceedings of SPIE - The International Society for Optical Engineering 4719. 2002:306-317.
|