Abstract
For signals consisting of a number of frequency components, the Fourier transform 4 (FT) effectively reveals their frequency contents and is generally able to represent 5 the signals with an acceptable resolution divided by equal bandwidth in the 6 frequency domain. The discrete Fourier transform (DFT) is an important tool for 7 digital signal processing, in which the N-point DFT of a length-N sequence is given 8 by the frequency samples at N-uniformly spaced points [W23]. It has been widely 9 applied in solving both time-domain and frequency-domain problems, signal anal- 10 ysis/synthesis, detection/estimation, and data compression [B6].
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Rao, K.R., Kim, D.N., Hwang, J.J. (2010). Nonuniform DFT. In: Fast Fourier Transform - Algorithms and Applications. Signals and Communication Technology. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6629-0_7
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