Abstract
The main objective of this chapter is to develop a fast algorithm for efficient computation of the DFT. This algorithm, called the fast Fourier transform (FFT), significantly reduces the number of arithmetic operations and memory required to compute the DFT (or its inverse). Consequently, it has accelerated the application of Fourier techniques in digital signal processing in a number of diverse areas. A detailed development of the FFT is followed by some numerical examples which illustrate its applications.
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Ahmed, N., Rao, K.R. (1975). Fast Fourier Transform. In: Orthogonal Transforms for Digital Signal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45450-9_4
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DOI: https://doi.org/10.1007/978-3-642-45450-9_4
Publisher Name: Springer, Berlin, Heidelberg
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