Work

Reconstruction of Sparse Wavelet Signals From Partial Fourier Measurements

Year: 2015

Type: article

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.

Source: IEEE Signal Processing Letters

DOI: 10.1109/lsp.2015.2478007

Authors: Yang Chen, Cheng Cheng, Qiyu Sun

Institutions: Hunan Normal University, University of Central Florida

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Division of Mathematical Sciences

Award: G2944739099

OpenAlex ID: W1521228962

FWCI: 0.244

Cites: 39

Cited by: 3

Related to: 10