DISCRETE-FREQUENCY FOURIER TRANSFORM: A MISSING TOOL IN DIGITAL SIGNAL PROCESSING.

William Kenneth Jenkins, M. D. Desai

    Research output: Contribution to journalConference article

    1 Scopus citations

    Abstract

    In certain signal processing applications it may be required to reconstruct a spatial domain image from samples of its Fourier transform. For problems such as this it may be useful to use the dual of the well-known discrete-time Fourier transform (DTFT) for purpose of analysis and design. The dual concept, called the discrete frequency Fourier transform (DFFT), is shown to be a useful transform in its own right. In addition to being useful for certain physical problems, the DFFT fills a gap in the theory and aids the designer in understanding problems which have inherently sampled frequency domains.

    Original languageEnglish (US)
    Pages (from-to)953-954
    Number of pages2
    JournalProceedings - IEEE International Symposium on Circuits and Systems
    StatePublished - Dec 1 1985

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    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

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