On Selection of Search Space Dimension in Compressive Sampling Matching Pursuit

被引：0

作者：

Ambat, Sooraj K. ^{[1
]}

Chatterjee, Saikat ^{[2
]}

Hari, K. V. S. ^{[1
]}

机构：

[1] Indian Inst Sci, Dept Elect Commun Engg, Stat Signal Proc Lab, Bangalore 560012, Karnataka, India

[2] KTH Royal Inst Technol, Sch Elect Engn, Commun Theory Lab, S-10044 Stockholm, Sweden

来源：

TENCON 2012 - 2012 IEEE REGION 10 CONFERENCE: SUSTAINABLE DEVELOPMENT THROUGH HUMANITARIAN TECHNOLOGY | 2012年

关键词：

Compressed sensing; Sparse Recovery; Greedy Pursuit Algorithms; SIGNAL RECOVERY; RECONSTRUCTION;

D O I：

暂无

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：

Compressive Sampling Matching Pursuit (CoSaMP) is one of the popular greedy methods in the emerging field of Compressed Sensing (CS). In addition to the appealing empirical performance, CoSaMP has also splendid theoretical guarantees for convergence. In this paper, we propose a modification in CoSaMP to adaptively choose the dimension of search space in each iteration, using a threshold based approach. Using Monte Carlo simulations, we show that this modification improves the reconstruction capability of the CoSaMP algorithm in clean as well as noisy measurement cases. From empirical observations, we also propose an optimum value for the threshold to use in applications.

引用

页数：5

共 50 条

[11] On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit
Zhang, Xiaobo
Xu, Wenbo
Cui, Yupeng
Lu, Liyang
Lin, Jiaru
IEEE ACCESS, 2019, 7 : 175554 - 175563
[12] Through-the-wall Imaging Based on Modified Compressive Sampling Matching Pursuit
Gao, Y.
Peng, W.
Qu, Y.
Ding, J.
2017 IEEE SIXTH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP), 2017,
[13] Compressive Sampling Orthogonal Matching Pursuit Algorithm Based on Peak Signal to Noise Ratio
Dan, Hu
INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2016, 9 (08): : 23 - 32
[14] Compressive Spectrum Sensing Using Sampling-Controlled Block Orthogonal Matching Pursuit
Lu, Liyang
Xu, Wenbo
Wang, Yue
Tian, Zhi
IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 71 (02) : 1096 - 1111
[15] Parallel compressive sampling matching pursuit algorithm for compressed sensing signal reconstruction with OpenCL
Huang, Fang
Tao, Jian
Xiang, Yang
Liu, Peng
Dong, Lei
Wang, Lizhe
JOURNAL OF SYSTEMS ARCHITECTURE, 2017, 72 : 51 - 60
[16] Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit
Joseph, Antony
JOURNAL OF MACHINE LEARNING RESEARCH, 2013, 14 : 1771 - 1800
[17] Variable selection in high-dimension with random designs and orthogonal matching pursuit
Joseph, A. (ANTONY.JOSEPH@STAT.BERKELEY.EDU), 1771, Microtome Publishing (14):
[18] Image Recovery in the Infrared Domain via Path-Augmented Compressive Sampling Matching Pursuit
Emerson, Tegan H.
Olson, Colin C.
Lutz, Anthony
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), 2019, : 871 - 880
[19] A Dual-Mesh Microwave Reconstruction Method Based on Compressive Sampling Matching Pursuit Algorithm
Zhou, Huiyuan
Narayanan, Ram M.
PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2019, 166 : 43 - 57
[20] Reconfigurable FPGA/GPU-Based Architecture of Block Compressive Sampling Matching Pursuit Algorithm
Jarrah, Amin
Jamali, Mohsin M.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2015, 24 (04)

← 1 2 3 4 5 →