Exact Fourier Spectrum Recovery
Data Analysis, Statistics and Probability
2015-06-15 v1
Abstract
Discrete Fourier Transform (DFT) is widely used in signal processing to analyze the frequencies in a discrete signal. However, DFT fails to recover the exact Fourier spectrum, when the signal contains frequencies that do not correspond to the sampling grid. Here, we present an exact Fourier spectrum recovery method and we provide an implementation algorithm. Also, we show numerically that the proposed method is robust to noise perturbations.
Cite
@article{arxiv.1304.2043,
title = {Exact Fourier Spectrum Recovery},
author = {M. Andrecut},
journal= {arXiv preprint arXiv:1304.2043},
year = {2015}
}
Comments
11 pages, 4 figures