Fuzzy Discrete Fourier Transform for reduction of spectral leakage

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the International Conference on Information, Communications and Signal Processing, ICICS
PublisherIEEE
Pages1177-1179
Volume2
Publication statusPublished - 1997

Publication series

Name
Volume2

Conference

TitleProceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3)
CitySingapore, Singapore
Period9 - 12 September 1997

Abstract

The Discrete Fourier Transform (DFT) is a standard technique used in signal processing for examining the frequency spectrum of a sampled signal. While the DFT is a powerful tool, it is susceptible to spectral leakage. For example, leakage occurs when the frequency of an input signal does not exactly match one of the DFT output frequencies. In such cases, much of the energy of the input signal is spread across the entire spectrum of the DFT output, reducing the signal-to-noise ratio (SNR) of the signal. In this paper, a Fuzzy DFT scheme is presented which gives up some precision in positioning the frequency of fluctuating or non-matched signals in favour of reducing or in some cases eliminating entirely spectral leakage.

Citation Format(s)

Fuzzy Discrete Fourier Transform for reduction of spectral leakage. / Minett, James W.; Leung, S. W.

Proceedings of the International Conference on Information, Communications and Signal Processing, ICICS. Vol. 2 IEEE, 1997. p. 1177-1179.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review