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An economical method for calculating the discrete Fourier transform

Published: 09 December 1968 Publication History

Abstract

With the advent of digital computers it became possible to compute the Discrete Fourier Transform for a large number of input points in relatively reasonable times. However, for certain uses a demand developed to compute the Discrete Fourier Transform in a very short time or even in real time. Also, a demand developed for computing the Fourier Transform for a very large number of input points. These demands resulted in a requirement for computing the Fourier Transform in the fastest time possible. A very economical way for computing the Fourier Transform was developed a few years ago and is known as the Cooley-Tukey Algorithm. This article describes another algorithm for computing the Discrete Fourier Transform where the required number of additions and subtractions is the same as in the Cooley-Tukey Algorithm; but the required number of multiplications is only one half of that in the Cooley-Tukey Algorithm.

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  1. An economical method for calculating the discrete Fourier transform

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    AFIPS '68 (Fall, part I): Proceedings of the December 9-11, 1968, fall joint computer conference, part I
    December 1968
    931 pages
    ISBN:9781450378994
    DOI:10.1145/1476589
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

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    Published: 09 December 1968

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    AFIPS '68 (Fall, part I)
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    December 9 - 11, 1968
    California, San Francisco

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    • (2024)On-board Payload Data Processing Combined with the Roofline Model for Hardware/Software Design2024 IEEE Aerospace Conference10.1109/AERO58975.2024.10521057(1-12)Online publication date: 2-Mar-2024
    • (2024)A PPN-Based Improved QAM-FBMC System With Jointly Optimized Mismatched Prototype FiltersIEEE Access10.1109/ACCESS.2024.334960012(3736-3755)Online publication date: 2024
    • (2023)A Tutorial on the Characterisation and Modelling of Low Layer Functional Splits for Flexible Radio Access Networks in 5G and BeyondIEEE Communications Surveys & Tutorials10.1109/COMST.2023.329682125:4(2791-2833)Online publication date: Dec-2024
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