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Advances in theory of compressive sensing and applications in communication

  • Xiuzhi Guan*
  • , Yulong Gao
  • , Jian Chang
  • , Zhongzhao Zhang
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sampling is the link between analog signal and digital signal. With the rapid development of information technologies, demands for the amount of information are increasing at very fast speed. So the systems in existence are very difficult to meet the challenges of sampling at high speed, transmitting and storing large volume data. How to acquire information in signal efficiently is an urgent problem in electronic information fields. Compressive Sensing (CS) is a new theory of signal sampling, coding and encoding, which makes full use of signal's sparsity and compressibility [1][2]. This paper mainly introduce the model of Compressive Sensing theory, algorithm of Compressive Sensing theory. In the end, the applications fields of Compressive Sensing in communication are introduced.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011
Pages662-665
Number of pages4
DOIs
StatePublished - 2011
Event1st International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC2011 - Beijing, China
Duration: 21 Oct 201123 Oct 2011

Publication series

NameProceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011

Conference

Conference1st International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC2011
Country/TerritoryChina
CityBeijing
Period21/10/1123/10/11

Keywords

  • Compressive sensing
  • applications in communication
  • measurement matrix
  • reconstruct algorithm
  • sparsity

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