[1]李霞丽,吴立成,樊艳明.易于硬件实现的压缩感知观测矩阵的研究与构造[J].智能系统学报,2017,12(3):279-285.[doi:10.11992/tis.201606037]
 LI Xiali,WU Licheng,FAN Yanming.Study and construction of a compressed sensing measurement matrix that is easy to implement in hardware[J].CAAI Transactions on Intelligent Systems,2017,12(3):279-285.[doi:10.11992/tis.201606037]
点击复制

易于硬件实现的压缩感知观测矩阵的研究与构造

参考文献/References:
[1] CANDES E, ROMBERG J. Robust signal recovery from incomplete observations[C]//Proceedings of International Conference on Image Processing. Atlanta, GA: IEEE, 2006: 1281-1284.
[2] CANDES E J, TAO T. Decoding by linear programming[J]. IEEE transactions on information theory, 2005, 51(12): 4203-4215.
[3] DONOHO D L. Compressed sensing[J]. IEEE transactions on information theory, 2006, 52(4): 1289-1306.
[4] 戴琼海, 付长军, 季向阳. 压缩感知研究[J]. 计算机学报, 2011, 34(3): 425-434. DAI Qionghai, FU Changjun, JI Xiangyang. Research on compressed sensing[J]. Chinese journal of computers, 2011, 34(3): 425-434.
[5] CANDES E J, TAO T. Near-optimal signal recovery from random projections: universal encoding strategies?[J]. IEEE transactions on information theory, 2007, 52(12): 5406-5425.
[6] HAUPT J, BAJWA W U, RAZ G, et al. Toeplitz compressed sensing matrices with applications to sparse channel estimation[J]. IEEE transactions on information theory, 2010, 56(11): 5862-5875.
[7] DEVORE R A. Deterministic constructions of compressed sensing matrices[J]. Journal of complexity, 2007, 23(4/5/6): 918-925.
[8] 蒋留兵, 黄韬, 沈翰宁, 等. 基于局部随机化哈达玛矩阵的正交多匹配追踪算法[J]. 系统工程与电子技术, 2013, 35(5): 914-919. JIANG Liubing, HUANG Tao, SHEN Hanning, et al. Orthogonal multi matching pursuit algorithm based on local randomized Hadamard matrix[J]. Systems engineering and electronics, 2013, 35(5): 914-919.
[9] 刘记红, 徐少坤, 高勋章, 等. 基于随机卷积的压缩感知雷达成像[J]. 系统工程与电子技术, 2011, 33(7): 1485-1490. LIU Jihong, XU Shaokun, GAO Xunzhang, et al. Compressed sensing radar imaging based on random convolution[J]. Systems engineering and electronics, 2011, 33(7): 1485-1490.
[10] 徐皓波, 于凤芹. 基于稀疏预处理和循环观测的语音压缩感知[J]. 计算机工程与应用, 2014, 50(23): 220-224. XU Haobo, YU Fengqin. Speech compressed sensing based on sparse pre-treatment and circulant measurement[J]. Computer engineering and applications, 2014, 50(23): 220-224.
[11] 党骙, 马林华, 田雨, 等. M序列压缩感知测量矩阵构造[J]. 西安电子科技大学学报: 自然科学版, 2015(2): 186-192. DANG Kui, MA Linhua, TIAN Yu, et al. Construction of the compressive sensing measurement matrix based on m sequences[J]. Journal of Xidian University: Natural Science, 2015(2): 186-192.
[12] 王学伟, 崔广伟, 王琳, 等. 基于平衡GOLD序列的压缩感知测量矩阵的构造[J]. 仪器仪表学报, 2014, 35(1): 97-102. WANG Xuewei, CUI Guangwei, WANG Lin, et al. Construction of measurement matrix in compressed sensing based on balanced Gold sequence[J]. Chinese journal of scientific instrument, 2014, 35(1): 97-102.
[13] BARANIUK R, DAVENPORT M, DEVORE R, et al. A Simple proof of the restricted isometry property for random matrices[J]. Constructive approximation, 2008, 28(3): 253-263.
[14] ZHANG G S, JIAO S H, XU X L, et al. Compressed sensing and reconstruction with bernoulli matrices[C]//Proceedings of 2010 IEEE International Conference on Information and Automation (ICIA). Harbin: IEEE, 2010: 455-460.
[15] ZHANG G S, JIAO S H, XU X L. Compressed sensing and reconstruction with Semi-Hadamard matrices[C]//Proceedings of 2010 2nd International Conference on Signal Processing Systems (ICSPS). Dalian: IEEE, 2010: V1-194-V1-197.
[16] SONG, YUN CAO Wei, SHEN Yanfei, et al. Compressed sensing image reconstruction using intra prediction[J]. Neurocomputing, 151(3):1171-1179.
[17] WU X, HUANG G, WANG J, et al. Image reconstruction method of electrical capacitance tomography based on compressed sensing principle[J]. Measurement science and technology,2013,24 (7):075-085.
[18] LANGET H,RIDDELL C, TROUSSET Y,et al. Compressed sensing dynamic reconstruction in rotational angiography[J]. Med image comput comput assist interv,2012, 7510 (1):223-230.
[19] SHCHUCKINA A,KASPRZAK P,DASS R,et al. Pitfalls in compressed sensing reconstruction and how to avoid them[J]. Journal of biomolecular Nmr,2016:1-20.
[20] PARK JY, YAP HL,ROZELL CJ,et al. Concentration of measure for block diagonal matrices with applications to compressive signal processing[J]. IEEE transactions on signal processing, 2011, 59(12) : 5859-5875.
相似文献/References:
[1]田国会,吉艳青,李晓磊.家庭智能空间下基于场景的人的行为理解[J].智能系统学报,2010,5(1):57.
 TIAN Guo-hui,JI Yan-qing,LI Xiao-lei.Human behaviors understanding based on scene knowledge in home intelligent space[J].CAAI Transactions on Intelligent Systems,2010,5(3):57.
[2]李庆武,蔡艳梅,徐立中.基于分块分类的智能视频监控背景更新算法[J].智能系统学报,2010,5(3):272.
 LI Qing-wu,CAI Yan-mei,XU Li-zhong.Background update algorithm based on blocks classification forintelligent video surveillance[J].CAAI Transactions on Intelligent Systems,2010,5(3):272.
[3]邵真天,袁杰.一种基于曲波变换的图像去块算法[J].智能系统学报,2012,7(2):102.
 SHAO Zhentian,YUAN Jie.An image deblocking algorithm based on curvelet transformation[J].CAAI Transactions on Intelligent Systems,2012,7(3):102.
[4]王锦榕,袁学海,刘增良.基于图像处理技术的瞳孔和角膜反射中心提取算法[J].智能系统学报,2012,7(5):423.
 WANG Jinrong,YUAN Xuehai,LIU Zengliang.An extraction method of pupil and corneal reflection centers based on image processing technology[J].CAAI Transactions on Intelligent Systems,2012,7(3):423.
[5]傅博,姜勇,王洪光,等.输电线路巡检图像智能诊断系统[J].智能系统学报,2016,11(1):70.[doi:10.11992/tis.201503043]
 FU Bo,JIANG Yong,WANG Hongguang,et al.Intelligent diagnosis system for patrol check images of power transmission lines[J].CAAI Transactions on Intelligent Systems,2016,11(3):70.[doi:10.11992/tis.201503043]
[6]任晓霞,孙秀明,耿鹏,等.多小波和NSDFB组合域递归滤波多聚焦图像融合[J].智能系统学报,2016,11(2):241.[doi:10.11992/tis.201509017]
 REN Xiaoxia,SUN Xiuming,GENG Peng,et al.Multifocus image fusion using a recursive filter in the combined domain of multiwavelets and NSDFB[J].CAAI Transactions on Intelligent Systems,2016,11(3):241.[doi:10.11992/tis.201509017]
[7]姜婷,袭肖明,岳厚光.基于分布先验的半监督FCM的肺结节分类[J].智能系统学报,2017,12(5):729.[doi:10.11992/tis.201706018]
 JIANG Ting,XI Xiaoming,YUE Houguang.Classification of pulmonary nodules by semi-supervised FCM based on prior distribution[J].CAAI Transactions on Intelligent Systems,2017,12(3):729.[doi:10.11992/tis.201706018]
[8]王科俊,赵彦东,邢向磊.深度学习在无人驾驶汽车领域应用的研究进展[J].智能系统学报,2018,13(1):55.[doi:10.11992/tis.201609029]
 WANG Kejun,ZHAO Yandong,XING Xianglei.Deep learning in driverless vehicles[J].CAAI Transactions on Intelligent Systems,2018,13(3):55.[doi:10.11992/tis.201609029]
[9]郭晓峰,王耀南,周显恩,等.中国象棋机器人棋子定位与识别方法[J].智能系统学报,2018,13(4):517.[doi:10.11992/tis.201709020]
 GUO Xiaofeng,WANG Yaonan,ZHOU Xianen,et al.Chess-piece localization and recognition method for Chinese chess robot[J].CAAI Transactions on Intelligent Systems,2018,13(3):517.[doi:10.11992/tis.201709020]
[10]安果维,王耀南,周显恩,等.基于显著性检测的双目测距系统[J].智能系统学报,2018,13(6):913.[doi:10.11992/tis.201712005]
 AN Guowei,WANG Yaonan,ZHOU Xianen,et al.Binocular distance measurement system based on saliency detection[J].CAAI Transactions on Intelligent Systems,2018,13(3):913.[doi:10.11992/tis.201712005]
[11]梁义辉,战强.一种面向无线图像传输的视觉平台[J].智能系统学报,2016,11(5):608.[doi:10.11992/tis.201512014]
 LIANG Yihui,ZHAN Qiang.A visual platform for wireless image transmission[J].CAAI Transactions on Intelligent Systems,2016,11(3):608.[doi:10.11992/tis.201512014]
[12]赵立明,龙大周,徐晓东,等.工业机器人加工轨迹双目3D激光扫描成像修正方法[J].智能系统学报,2021,16(4):690.[doi:10.11992/tis.202008008]
 ZHAO Liming,LONG Dazhou,XU Xiaodong,et al.Binocular 3D laser scanning imaging-based industrial robot machining trajectory correction method[J].CAAI Transactions on Intelligent Systems,2021,16(3):690.[doi:10.11992/tis.202008008]

备注/Memo

收稿日期:2016-06-21。
基金项目:国家自然科学基金项目(51375504,61602539).
作者简介:李霞丽,女,1979年生,副教授,研究方向为计算机博弈、智能系统及其应用。主持国家自然科学基金项目1项,发表学术论文20余篇,出版专著1部;吴立成,男,1972年生,教授,主要研究方向为智能系统及其应用、机器人。主持国家级项目5项,发表学术论文50余篇,出版专著2部;樊艳明,男,1991年生,硕士研究生,主要研究方向为机器视觉。发表学术论文3篇。
通讯作者:吴立成.E-mail:wulicheng@tsinghua.edu.cn.

更新日期/Last Update: 2017-06-25
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134