3 Scopus citations

Abstract

In this paper, we investigate the application of compressive sensing and waveform design for estimating linear time-varying system characteristics. Based on the fact that the spreading function system representation is sparse in realistic system scenarios, we propose a new method for the identification of narrowband, wideband and dispersive systems using a small set of measurements. Through numerical simulations, we successfully demonstrate the feasibility of using compressive sensing to estimate the system spreading function.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages3865-3868
Number of pages4
DOIs
StatePublished - Sep 16 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

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Keywords

  • Compressive sensing
  • Linear time-varying system
  • System identification

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Zhang, J., & Papandreou-Suppappola, A. (2008). Compressive sensing and waveform design for the identification of linear time-varying systems. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 3865-3868). [4518497] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4518497