Sparse time-frequency distributions of chirps from a compressed sensing perspective
Year: 2008
Type: conference-paper
Abstract: Considering that multicomponent chirp signals are sparse in the time-frequency domain, it is possible to attach to them highly localized distributions thanks to a compressed sensing approach based on very few measurements in the ambiguity plane. The principle of the technique is described, with emphasis on the choice of the measurement subset for which an optimality criterion is proposed.
Source: HAL
Authors: Patrick Flandrin, Pierre Borgnat
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2969007406
