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Fourier analysis and signal processing by use of the Moebius inversion formulaA novel Fourier technique for digital signal processing is developed. This approach to Fourier analysis is based on the number-theoretic method of the Moebius inversion of series. The Fourier transform method developed is shown also to yield the convolution of two signals. A computer simulation shows that this method for finding Fourier coefficients is quite suitable for digital signal processing. It competes with the classical FFT (fast Fourier transform) approach in terms of accuracy, complexity, and speed.
Document ID
19900046216
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Reed, Irving S.
(University of Southern California Los Angeles, CA, United States)
Yu, Xiaoli
(University of Southern California Los Angeles, CA, United States)
Shih, Ming-Tang
(Southern California, University Los Angeles, CA, United States)
Tufts, Donald W.
(Rhode Island, University Kingston, United States)
Truong, T. K.
(JPL Pasadena, CA, United States)
Date Acquired
August 14, 2013
Publication Date
March 1, 1990
Publication Information
Publication: IEEE Transactions on Acoustics, Speech, and Signal Processing
Volume: 38
ISSN: 0096-3518
Subject Category
Numerical Analysis
Accession Number
90A33271
Funding Number(s)
CONTRACT_GRANT: NAS7-100
Distribution Limits
Public
Copyright
Other

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