Translated Title
Sub-Nyquist Sampling on Spectrum Co-prime Permutation
Translated Abstract
In this paper,a spectrum co-prime rearrangement based sampling scheme at very low rate is presented.This scheme extends SFT from discrete time domain to continuous time domain.Firstly,the spectrum of sparse signal at the frequency domain is rearranged and compressed by co-prime Fourier sampling expansion.Then it is reconstructed by sub-linear algorithm on Chinese Remainder Theorem.The simulation results show that the proposed sampling scheme can further reduce the sampling rate of spectral sparse signal.
Translated Keyword
Chinese Remainder Theorem
sparse Fourier transform
spectral sparse signal
sub-linear algorithm
sub-Nyquist sampling
Access Number
WF:perioarticaldianzixb201710027
