Effects of basis-mismatch in compressive sampling of continuous sinusoidal signals

Daniel H. Chae, Parastoo Sadeghi, Rodney A. Kennedy

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

    48 Citations (Scopus)

    Abstract

    The theory of compressive sampling (or compressed sensing) is very attractive in that it is possible to reconstruct some signals with a sub-Nyquist sampling rate provided that they are sparse in some basis domain. But if there exists a mismatch between the signal basis and the pre-defined reconstruction basis, the reconstruction performance is significantly degraded even if the signal is sparse enough. In this paper, the degradation due to this basis mismatch is investigated and a way to minimize the effects of basis mismatch in compressive sampling of continuous sinusoidal signals is discussed.

    Original languageEnglish
    Title of host publicationProceedings of the 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010
    PagesV2739-V2743
    DOIs
    Publication statusPublished - 2010
    Event2010 2nd International Conference on Future Computer and Communication, ICFCC 2010 - Wuhan, China
    Duration: 21 May 201024 May 2010

    Publication series

    NameProceedings of the 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010
    Volume2

    Conference

    Conference2010 2nd International Conference on Future Computer and Communication, ICFCC 2010
    Country/TerritoryChina
    CityWuhan
    Period21/05/1024/05/10

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