A sampled-data approach to optimal non-causal downsampling

Hanumant Shekhawat, Gjerrit Meinsma

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    Abstract

    Downsampling is the process of reducing the sampling rate of a discrete signal. This paper describes how sampled data system theory can be used to design an L2 or L∞ optimal downsampler which reduces the sampling rate by a positive integer factor from a given fast sampler. This paper also describes the effect of noise on the optimal downsampling.
    Original languageUndefined
    Pages (from-to)277-315
    Number of pages39
    JournalMathematics of control, signals and systems
    Volume27
    Issue number3
    DOIs
    Publication statusPublished - Sep 2015

    Keywords

    • EWI-26721
    • Linearity
    • Sampling
    • Shannon’s sampling theorem
    • IR-99219
    • Time-shift invariance
    • Causality
    • METIS-315541
    • System norms

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