Compressive sensing-based signal compression and recovery in UWB wireless communication system

Author:

Wu Ji1,Wang Wei2,Liang Qilian1,Wu Xiaorong2,Zhang Baoju2

Affiliation:

1. Department of Electrical Engineering; University of Texas at Arlington; Arlington TX 76019-0016 U.S.A.

2. College of Physics and Electronic Information; Tianjin Normal University; Tianjin 300387 China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference15 articles.

1. Deterministic Designs with Deterministic Guarantees: Toeplitz Compressed Sensing Matrices, Sequence, Designs and System Identification;Saligrama;Submitted to IEEE Transactions on Information Theory

2. Sparse and incoherence in compressive sampling;Candés;Inverse Problem,2007

3. Compressive sensing;Baranuik;IEEE Signal Processing Magazine,2007

4. An introduction to compressive sensing;Candés;IEEE Signal Processing Magazine,2008

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5. High precision ranging with IR-UWB: a compressed sensing approach;Wireless Communications and Mobile Computing;2016-09-30

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