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Bibliographic Details
Main Author: Gong, Zijun
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2407.06502
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author Gong, Zijun
author_facet Gong, Zijun
contents Based on the sampling theorem, interpolation should be conducted by employing the sinc functions as the kernels. Inspired by the fact that the discrete Fourier transform (DFT) is sampled from the discrete time Fourier transform, a fast signal interpolation algorithm based on zero-padding and fast Fourier transform (FFT) and inverse FFT (IFFT) is presented. This algorithm gives a good approximate of the ideal interpolation, in spite of the windowing effect. The fundamental difference of this algorithm and the ideal sinc interpolation is unveiled, and shown to be deeply rooted in the connection of the sinc function and the Dirichlet function.
format Preprint
id arxiv_https___arxiv_org_abs_2407_06502
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fast Signal Interpolation Through Zero-padding and FFT/IFFT
Gong, Zijun
Signal Processing
Based on the sampling theorem, interpolation should be conducted by employing the sinc functions as the kernels. Inspired by the fact that the discrete Fourier transform (DFT) is sampled from the discrete time Fourier transform, a fast signal interpolation algorithm based on zero-padding and fast Fourier transform (FFT) and inverse FFT (IFFT) is presented. This algorithm gives a good approximate of the ideal interpolation, in spite of the windowing effect. The fundamental difference of this algorithm and the ideal sinc interpolation is unveiled, and shown to be deeply rooted in the connection of the sinc function and the Dirichlet function.
title Fast Signal Interpolation Through Zero-padding and FFT/IFFT
topic Signal Processing
url https://arxiv.org/abs/2407.06502