Improved bounds on restricted isometry constant for orthogonal matching pursuit

被引:31
|
作者
Wen, Jinming [1 ]
Zhu, Xiaomei [2 ,4 ]
Li, Dongfang [1 ,3 ]
机构
[1] McGill Univ, Dept Math & Stat, Montreal, PQ H3A 2K6, Canada
[2] Nanjing Univ Technol, Coll Elect & Informat Engn, Nanjing 211816, Jiangsu, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Peoples R China
[4] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 2K6, Canada
关键词
RECOVERY;
D O I
10.1049/el.2013.2222
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
First, a counter example is constructed to show that for any given positive integer K >= 2 and for any (1/root K + 1) <= t < 1, there always exists a K- sparse x and a matrix A with the restricted isometry constant delta(K+1) = t such that the orthogonal matching pursuit (OMP) algorithm fails in K iterations. Secondly, it is shown that even when delta(K+1) = (1/(root K + 1)), the OMP algorithm can also perfectly recover every K- sparse vector x from y = Ax in K iterations. This improves the best existing results which were independently given by Mo and Shen and Wang and Shim.
引用
收藏
页码:1487 / 1489
页数:2
相关论文
共 50 条
  • [21] New bounds on the restricted isometry constant δ2k
    Mo, Qun
    Li, Song
    APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2011, 31 (03) : 460 - 468
  • [22] Block compressive sampling matching pursuit based on restricted isometry property
    Chen, Peng
    Wang, Cheng
    Meng, Chen
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2015, 37 (02): : 239 - 245
  • [23] Orthogonal Matching Pursuit Algorithm Via Improved Matching Criterion
    Jianhong-Xiang
    Huihui-Yue
    Xiangjun-Yin
    2018 2ND INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (ICDSP 2018), 2018, : 27 - 31
  • [24] Improving the bound on the restricted isometry property constant in multiple orthogonal least squares
    Li, Haifeng
    Zhang, Jing
    Zou, Jian
    IET SIGNAL PROCESSING, 2018, 12 (05) : 666 - 671
  • [25] Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
    Somani, Raghav
    Gupta, Chirag
    Jain, Prateek
    Netrapalli, Praneeth
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [26] Restricted Connection Orthogonal Matching Pursuit for Sparse Subspace Clustering
    Zhu, Wenqi
    Yang, Shuai
    Zhu, Yuesheng
    IEEE SIGNAL PROCESSING LETTERS, 2019, 26 (12) : 1892 - 1896
  • [27] New Bounds for Restricted Isometry Constants
    Cai, T. Tony
    Wang, Lie
    Xu, Guangwu
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2010, 56 (09) : 4388 - 4394
  • [28] Nearly Optimal Restricted Isometry Condition for Rank Aware Order Recursive Matching Pursuit
    Kim, Junhan
    Wang, Jian
    Shim, Byonghyo
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (17) : 4449 - 4463
  • [29] Nearly Sharp Restricted Isometry Condition of Rank Aware Order Recursive Matching Pursuit
    Kim, Junhan
    Shim, Byonghyo
    2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2019, : 2684 - 2688
  • [30] Improved orthogonal matching pursuit algorithm with application to learningdictionary
    Yang, Ronggen
    Ren, Mingwu
    ICIC Express Letters, 2010, 4 (03): : 985 - 991