Paper
23 May 2014 Reducing noise in the time-frequency representation using sparsity promoting kernel design
Author Affiliations +
Abstract
Missing samples in the time domain introduce noise-like artifacts in the ambiguity domain due to their de facto zero values assumed by the bilinear transform. These artifacts clutter the dual domain of the time-frequency signal representation and obscures the time-frequency signature of single and multicomponent signals. In order to suppress the artifacts influence, we formulate a problem based on the sparsity aware kernel. The proposed kernel design is more robust to the artifacts caused by the missing samples.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Branka Jokanović, Moeness G. Amin, and Yimin D. Zhang "Reducing noise in the time-frequency representation using sparsity promoting kernel design", Proc. SPIE 9109, Compressive Sensing III, 91090B (23 May 2014); https://doi.org/10.1117/12.2050894
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Time-frequency analysis

Doppler effect

Compressed sensing

Modulation

Signal analyzers

Statistical analysis

Biomedical optics

Back to Top