Sparse time-frequency distributions of chirps from a compressed sensing perspective
Overview & Synopsis
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.
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Document Information
| Document Title | Sparse time-frequency distributions of chirps from a compressed sensing perspective |
|---|---|
| Author / Organization | Patrick Flandrin, Pierre Borgnat |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2008 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-157606 |
| Original Source Link | Visit Source Page on hal.science » |