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

Socpus ID

84960098772 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84960098772

This document is currently not available here.

Share

COinS