Title
Reconstruction Of Sparse Wavelet Signals From Partial Fourier Measurements
Keywords
Compressive sensing; Fourier transform; wavelet
Abstract
In this letter, we show that high-dimensional sparse wavelet signals can be reconstructed from their partial Fourier measurements on a deterministic sampling set with cardinality about a multiple of signal sparsity.
Publication Date
12-1-2015
Publication Title
IEEE Signal Processing Letters
Volume
22
Issue
12
Number of Pages
2299-2303
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/LSP.2015.2478007
Copyright Status
Unknown
Socpus ID
84960098772 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84960098772
STARS Citation
Chen, Yang; Cheng, Cheng; and Sun, Qiyu, "Reconstruction Of Sparse Wavelet Signals From Partial Fourier Measurements" (2015). Scopus Export 2015-2019. 565.
https://stars.library.ucf.edu/scopus2015/565