Sampled signal reconstruction via H2 optimization

Gjerrit Meinsma, Leonid Mirkin

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

    32 Downloads (Pure)

    Abstract

    In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data H2 smoothing problem. Both infinite (non-causal reconstructor) and finite (reconstructor with relaxed causality) preview cases are considered. The optimal reconstructors are in the form of the cascade of a discrete-time smoother and a generalized hold (interpolator). In the particular case of reconstructing polynomial signals with infinite preview, the proposed procedure recovers the cardinal B-spline reconstructors.
    Original languageUndefined
    Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing
    PublisherIEEE Signal Processing Society
    PagesIII-365-III-368
    Number of pages4
    ISBN (Print)1-4244-0469-X
    DOIs
    Publication statusPublished - May 2006

    Publication series

    Name
    PublisherIEEE Signal Processing Society
    Numbersupplement
    VolumeIII
    ISSN (Print)1520-6149

    Keywords

    • EWI-8186
    • IR-66617
    • METIS-237625

    Cite this