An improved Hadamard measurement matrix based on Walsh code for compressive sensing

Cai Zhuoran; Zhao Honglin; Jia Min; Wang Gang; Shen Jingshi

doi:10.1109/ICICS.2013.6782833

An improved Hadamard measurement matrix based on Walsh code for compressive sensing

Cai Zhuoran
, Zhao Honglin
, Jia Min
, Wang Gang
, Shen Jingshi

School of Electronics and Information Engineering, Harbin Institute of Technology
Shandong Aerospace Electro-Technology Institute

Research output: Contribution to conference › Paper › peer-review

42 Scopus citations

Abstract

Measurement matrix design is a very significant part in the whole process of compressive sensing, the ratio of the signal compression and the receiver reconstruction accuracy of the original signal are all determined by it. An improved Hadamard measurement matrix based on Walsh code for compressive sensing is proposed in this paper. Simulation results demonstrate that the measure performance of the proposed measurement matrix is better than original Hadamard measurement matrix.

Original language	English
DOIs	https://doi.org/10.1109/ICICS.2013.6782833
State	Published - 2013
Externally published	Yes
Event	9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan, Province of China Duration: 10 Dec 2013 → 13 Dec 2013

Conference

Conference	9th International Conference on Information, Communications and Signal Processing, ICICS 2013
Country/Territory	Taiwan, Province of China
City	Tainan
Period	10/12/13 → 13/12/13

Keywords

Compress sensing
Measurement matrix
Signal reconstruction
Walsh Code

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10.1109/ICICS.2013.6782833

Cite this

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title = "An improved Hadamard measurement matrix based on Walsh code for compressive sensing",

abstract = "Measurement matrix design is a very significant part in the whole process of compressive sensing, the ratio of the signal compression and the receiver reconstruction accuracy of the original signal are all determined by it. An improved Hadamard measurement matrix based on Walsh code for compressive sensing is proposed in this paper. Simulation results demonstrate that the measure performance of the proposed measurement matrix is better than original Hadamard measurement matrix.",

keywords = "Compress sensing, Measurement matrix, Signal reconstruction, Walsh Code",

author = "Cai Zhuoran and Zhao Honglin and Jia Min and Wang Gang and Shen Jingshi",

year = "2013",

doi = "10.1109/ICICS.2013.6782833",

language = "英语",

note = "9th International Conference on Information, Communications and Signal Processing, ICICS 2013 ; Conference date: 10-12-2013 Through 13-12-2013",

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T1 - An improved Hadamard measurement matrix based on Walsh code for compressive sensing

AU - Zhuoran, Cai

AU - Honglin, Zhao

AU - Min, Jia

AU - Gang, Wang

AU - Jingshi, Shen

PY - 2013

Y1 - 2013

N2 - Measurement matrix design is a very significant part in the whole process of compressive sensing, the ratio of the signal compression and the receiver reconstruction accuracy of the original signal are all determined by it. An improved Hadamard measurement matrix based on Walsh code for compressive sensing is proposed in this paper. Simulation results demonstrate that the measure performance of the proposed measurement matrix is better than original Hadamard measurement matrix.

AB - Measurement matrix design is a very significant part in the whole process of compressive sensing, the ratio of the signal compression and the receiver reconstruction accuracy of the original signal are all determined by it. An improved Hadamard measurement matrix based on Walsh code for compressive sensing is proposed in this paper. Simulation results demonstrate that the measure performance of the proposed measurement matrix is better than original Hadamard measurement matrix.

KW - Compress sensing

KW - Measurement matrix

KW - Signal reconstruction

KW - Walsh Code

UR - https://www.scopus.com/pages/publications/84899120420

U2 - 10.1109/ICICS.2013.6782833

DO - 10.1109/ICICS.2013.6782833

M3 - 论文

AN - SCOPUS:84899120420

T2 - 9th International Conference on Information, Communications and Signal Processing, ICICS 2013

Y2 - 10 December 2013 through 13 December 2013

ER -

An improved Hadamard measurement matrix based on Walsh code for compressive sensing

Abstract

Conference

Keywords

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