A New Simple Algorithm for Deriving the Winograd 9-Point FFT by Using New Identical Equations for 3 × 3 Circulant and Quasi-Circulant Matrices
Author:
Affiliation:
1. Hakurei Information Science Laboratory
2. Kanazawa Institute of Technology
Publisher
Research Institute of Signal Processing, Japan
Link
https://www.jstage.jst.go.jp/article/jsp/25/1/25_43/_pdf
Reference6 articles.
1. [1] C. M. Rader: Discrete Fourier transforms when the number of data samples is prime, Proc. IEEE, Vol.56, No.6, pp.1107-1108, 1968.
2. [2] H. J. Nussbaumer: Fast Fourier Transform and Convolution Algorithms, Springer Series in Information Sciences 2, Berlin-Heiderberg-New York, Springer-Verlag, 1981.
3. [3] R. E. Blahut: Fast Algorithms for Signal Processing, Cambridge University Press, 2010.
4. [4] S. K. Mitra and J. F. Kaiser, Eds.: Handbook for Digital Signal Processing, John Wiley & Sons, Inc. New York, NY, USA, 1993.
5. [5] S. Winograd: On computing the discrete Fourier transform, Mathematics of Computation, Vol.32, No.141, pp.175-199, 1978.
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1. Derivation of Diagonalized Identical Equations for 3 by 3 Circulant and Quasi-Circulant Matrices and Their Application to Winograd 7-Point FFT;Journal of Signal Processing;2022-01-01
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