Signal Reconstruction via H∞ Sampled-Data Control Theory—Beyond the Shannon Paradigm

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Abstract

This paper presents a new method for signal reconstruction by leveraging sampled-data control theory. We formulate the signal reconstruction problem in terms of an analog performance optimization problem using a stable discrete-time filter. The proposed H∞ performance criterion naturally takes inter-sample behavior into account, reflecting the energy distributions of the signal. We present methods for computing optimal solutions which are guaranteed to be stable and causal. Detailed comparisons to alternative methods are provided. We discuss some applications in sound and image reconstruction.

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Details 詳細情報について

  • CRID
    1050001335729252352
  • NII Article ID
    120003988227
  • NII Book ID
    AA10788333
  • ISSN
    1053587X
  • HANDLE
    2433/154609
  • Text Lang
    en
  • Article Type
    journal article
  • Data Source
    • IRDB
    • CiNii Articles

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