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- Henrik V. Sorensen, Douglas L. Jones, Michael T. Heideman, C. Sidney Burrus
- IEEE Trans. Acoustics, Speech, and Signal…
- 1987

This tutorial paper describes the methods for constructing fast algorithms for the computation of the discrete Fourier transform (DFT) of a real-valued series. The application of these ideas to all the major fast Fourier transform (FFT) algorithms is discussed, and the various algorithms are compared. We present a new implementation of the real-valued… (More)

- Henrik V. Sorensen, Douglas L. Jones, C. Sidney Burrus, Michael T. Heideman
- IEEE Trans. Acoustics, Speech, and Signal…
- 1985

Introduction The fast FOURIER transform (FFT) has become well known as a very efficient algorithm for calculating the discrete FOURIER transform (D F T)-a formula for evaluating the N FOURIER coefficients from a sequence of N numbers. The DFT is used in many disciplines to obtain the spectrum or frequency content of a signal and to facilitate the… (More)

- Michael T. Heideman, C. Sidney Burrus
- IEEE Trans. Acoustics, Speech, and Signal…
- 1986

- Michael T. Heideman
- IEEE Trans. Signal Processing
- 1992

- Henrik V. Sorensen, Michael T. Heideman, C. Sidney Burrus
- IEEE Trans. Acoustics, Speech, and Signal…
- 1986

- Michael T. Heideman, C. Sidney Burrus, Howard W. Johnson
- ICASSP
- 1984

- Yuke Wang, Yiyan Tang, +10 authors H. W. Johnson
- 2016

FFT algorithms is one of the many methods used for the calculation of DFT, but they are preferred due to their increased speed and higher efficiency, which arises due to the fact that for the calculation of a N-point DFT, the sequence is broken into several segments and the DFT for each segment is calculated. However, for this many redundant memory spaces… (More)

- Henrik V. Sorensen, Douglas L. Jones, Michael T. Heideman, C. Sidney Burrus
- IEEE Trans. Acoustics, Speech, and Signal…
- 1987

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