Naslov
A Compressive Sensing Based Method for Cross-Terms Suppression in the Time-Frequency Plane

Autori
Volarić, Ivan ; Sučić, Viktor ; Car, Zlatan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Bioinformatics and Bioengineering (BIBE), 2015 IEEE 15th International Conference on / - , 2015, 383-386

Skup
IEEE International Conference on Bioinformatics & Bioengineering BIBE 2015

Mjesto i datum
Beograd, Srbija, 02.11.2015. - 04.11.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Compressed sensing ; Image reconstruction ; Matching pursuit algorithms ; Reconstruction algorithms ; Signal to noise ratio ; Time-frequency analysis

Sažetak
Signals with time-varying frequency content are generally best represented in the time frequency (TF) domain, with the components instantaneous frequency laws being their key nonstationary features. There are a number of methods for TF distribution calculation (TFD), however, most of them add unwanted artifacts, making the TFD interpretation more difficult. In this paper, we use a compressive sensing approach to suppress or completely eliminate those artifacts. Furthermore, a basis pursuit algorithm is employed for signal reconstruction in order to reduce resolution loss, which is a mayor obstacle of existing TFD design methods.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

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