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An Observer-Based Adaptive Fourier Analysis [Tips & Tricks] | IEEE Journals & Magazine | IEEE Xplore
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An Observer-Based Adaptive Fourier Analysis [Tips & Tricks]


Abstract:

Recently, an observer-based algorithm was reviewed that is able to perform recursive sliding discrete Fourier transform (SDFT) [1]. DFT is the basic algorithm used for Fo...Show More

Abstract:

Recently, an observer-based algorithm was reviewed that is able to perform recursive sliding discrete Fourier transform (SDFT) [1]. DFT is the basic algorithm used for Fourier analysis [2], but it provides unbiased estimates only if the sampling is coherent, i.e., the ratio of the sampling frequency fs and the input signal frequency fin is a rational number. Coherent sampling of real-life periodic signals (e.g., mains voltage) can only be achieved if fin and fs are synchronized.
Published in: IEEE Signal Processing Magazine ( Volume: 37, Issue: 4, July 2020)
Page(s): 134 - 143
Date of Publication: 29 June 2020

ISSN Information:


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