A Fuzzy Discrete Fourier Transform for reduction of spectral leakage

James W. Minett; S. W. Leung

doi:10.1109/ICICS.1997.652168

A Fuzzy Discrete Fourier Transform for reduction of spectral leakage

James W. Minett, S. W. Leung

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

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. © 1997 IEEE

Original language	English
Title of host publication	Proceedings of 1997 International Conference on Information, Communications and Signal Processing
Publisher	IEEE
Pages	1177-1179
Volume	2
ISBN (Print)	0-7803-3676-3
DOIs	https://doi.org/10.1109/ICICS.1997.652168
Publication status	Published - Sept 1997
Event	1st International Conference on Information, Communications and Signal Processing (ICICS 1997) - , Singapore Duration: 9 Sept 1997 → 12 Sept 1997

Conference

Conference	1st International Conference on Information, Communications and Signal Processing (ICICS 1997)
Place	Singapore
Period	9/09/97 → 12/09/97

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@inproceedings{58e0b0263d2a461489a9c479f4694bc8,

title = "A Fuzzy Discrete Fourier Transform for reduction of spectral leakage",

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. {\textcopyright} 1997 IEEE",

author = "Minett, {James W.} and Leung, {S. W.}",

year = "1997",

month = sep,

doi = "10.1109/ICICS.1997.652168",

language = "English",

isbn = "0-7803-3676-3",

volume = "2",

pages = "1177--1179",

booktitle = "Proceedings of 1997 International Conference on Information, Communications and Signal Processing",

publisher = "IEEE",

address = "United States",

note = "1st International Conference on Information, Communications and Signal Processing (ICICS 1997) ; Conference date: 09-09-1997 Through 12-09-1997",

}

Minett, JW & Leung, SW 1997, A Fuzzy Discrete Fourier Transform for reduction of spectral leakage. in Proceedings of 1997 International Conference on Information, Communications and Signal Processing. vol. 2, IEEE, pp. 1177-1179, 1st International Conference on Information, Communications and Signal Processing (ICICS 1997), Singapore, 9/09/97. https://doi.org/10.1109/ICICS.1997.652168

A Fuzzy Discrete Fourier Transform for reduction of spectral leakage. / Minett, James W.; Leung, S. W.
Proceedings of 1997 International Conference on Information, Communications and Signal Processing. Vol. 2 IEEE, 1997. p. 1177-1179.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Fuzzy Discrete Fourier Transform for reduction of spectral leakage

AU - Minett, James W.

AU - Leung, S. W.

PY - 1997/9

Y1 - 1997/9

N2 - 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. © 1997 IEEE

AB - 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. © 1997 IEEE

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0031364182&origin=recordpage

U2 - 10.1109/ICICS.1997.652168

DO - 10.1109/ICICS.1997.652168

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-3676-3

VL - 2

SP - 1177

EP - 1179

BT - Proceedings of 1997 International Conference on Information, Communications and Signal Processing

PB - IEEE

T2 - 1st International Conference on Information, Communications and Signal Processing (ICICS 1997)

Y2 - 9 September 1997 through 12 September 1997

ER -

A Fuzzy Discrete Fourier Transform for reduction of spectral leakage

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