Reconstruction Of Sparse Multiband Wavelet Signals From Fourier Measurements
Abstract
In this paper, we consider the problem of reconstructing sparse multiband wavelet signals of finite levels from their samples in Fourier domain. We show that those sparse signals are determined by their Fourier measurements on a set of size proportional to their sparsity.
Publication Date
7-2-2015
Publication Title
2015 International Conference on Sampling Theory and Applications, SampTA 2015
Number of Pages
78-81
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/SAMPTA.2015.7148854
Copyright Status
Unknown
Socpus ID
84941063062 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84941063062
STARS Citation
Chen, Yang; Cheng, Cheng; and Sun, Qiyu, "Reconstruction Of Sparse Multiband Wavelet Signals From Fourier Measurements" (2015). Scopus Export 2015-2019. 2057.
https://stars.library.ucf.edu/scopus2015/2057