Signal Compression Reconstruction with Narrow-Band Interference

被引：0

作者：

Li, Yongjie ^{[1
]}

Xu, Dongjiao ^{[1
]}

Wang, Xin ^{[1
]}

Chang, Ying ^{[1
]}

机构：

[1] Informat & Telecommun Co State Grid Henan Elect P, Zhengzhou 450052, Henan, Peoples R China

来源：

MECHANICAL COMPONENTS AND CONTROL ENGINEERING III | 2014年 / 668-669卷

关键词：

Compressive signal processing; Narrow-band interference; Signal reconstruction; Compressive sensing;

D O I：

10.4028/www.scientific.net/AMM.668-669.1110

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Compressive sensing (CS) implements sampling and compression to sparse or compressible signals simultaneously. Compressive signal processing is a new signal processing scheme base on compressive sensing theory. In this paper, the problem of signal compressive reconstruction base on narrow-band interference is researched. The reconstruction performance of BP, MP, and OMP algorithms with narrow-band interference is analyzed by computer simulations.

引用

页码：1110 / 1113

页数：4

共 7 条

[1] [Anonymous], 2006, IEEE T INFORM THEORY
[2] Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information
Candès, EJ
Romberg, J
Tao, T
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) : 489 - 509
[3] Near-optimal signal recovery from random projections: Universal encoding strategies?
Candes, Emmanuel J.
Tao, Terence
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (12) : 5406 - 5425
[4] Davenport M., 2009, Compressive domain interference cancellation
[5] Davenport M., 2006, DETECTION ESTIMATION
[6] Signal Processing With Compressive Measurements
Davenport, Mark A.
Boufounos, Petros T.
Wakin, Michael B.
Baraniuk, Richard G.
[J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2010, 4 (02) : 445 - 460
[7] TWO NOVEL COMPRESSED-SENSING ALGORITHMS FOR NBI DETECTION IN OFDM SYSTEMS
Gomaa, Ahmad
Islam, K. M. Zahidul
Al-Dhahir, Naofal
[J]. 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 3294 - 3297

← 1 →