Rényi entropy based complexity estimation of nonstationary signals

ABSTARCT: In signal processing applications, the analyst is often faced with the problem of signal components identification, originating from one or more sources. The presence of different components can be assessed by the detection of their time supports in the time-frequency plane. In this thesis...

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Permalink: http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:44514/Similar
Glavni autor: Saulig, Nicoletta (-)
Ostali autori: Seršić, Damir (Thesis advisor), Sučić, Viktor
Vrsta građe: Knjiga
Jezik: eng
Impresum: Zagreb: N. Saulig ; Fakultet elektrotehnike i računarstva, 2015.

APA stil citiranja

Saulig, N., Seršić, D., & Sučić, V. (2015). Rényi entropy based complexity estimation of nonstationary signals: Rényi entropy based complexity estimation of nonstationary signals: doctoral thesis. Zagreb: N. Saulig ; Fakultet elektrotehnike i računarstva.

Chicago stil citiranja

Saulig, Nicoletta, Damir Seršić, and Viktor Sučić. Rényi entropy based complexity estimation of nonstationary signals: Rényi entropy based complexity estimation of nonstationary signals: doctoral thesis. Zagreb: N. Saulig ; Fakultet elektrotehnike i računarstva, 2015.

MLA stil citiranja

Saulig, Nicoletta, Damir Seršić, and Viktor Sučić. Rényi entropy based complexity estimation of nonstationary signals: Rényi entropy based complexity estimation of nonstationary signals: doctoral thesis. Zagreb: N. Saulig ; Fakultet elektrotehnike i računarstva, 2015.