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...
Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:44514/Similar |
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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.
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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 citiranjaSaulig, 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 citiranjaSaulig, 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.