Derivation of Diagonalized Identical Equations for 3 by 3 Circulant and Quasi-Circulant Matrices and Their Application to Winograd 7-Point FFT
The derivation of the 7-point Winograd fast Fourier transform (FFT) requires complex steps such as using the Rader prime algorithm to turn an N-point discrete Fourier transform (DFT) into an (N − 1)-point convolution and then using the Chinese remainder theorem for polynomials to find the set of rem...
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Veröffentlicht in: | Journal of Signal Processing 2022/01/01, Vol.26(1), pp.13-19 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | The derivation of the 7-point Winograd fast Fourier transform (FFT) requires complex steps such as using the Rader prime algorithm to turn an N-point discrete Fourier transform (DFT) into an (N − 1)-point convolution and then using the Chinese remainder theorem for polynomials to find the set of remainders. In this paper, we describe a simpler method for deriving the 7-point Winograd FFT using the diagonalized identical equations of 3 by 3 circulant and quasi-circulant matrices. These diagonalized identical equations of 3 by 3 matrices are not found in the literature and are newly derived. |
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ISSN: | 1342-6230 1880-1013 |
DOI: | 10.2299/jsp.26.13 |