Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures — Performance Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F24%3A00012404" target="_blank" >RIV/46747885:24220/24:00012404 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21340/24:00382260

Výsledek na webu

<a href="https://asap.ite.tul.cz/wp-content/uploads/sites/3/2024/06/Double_non_stationarity___Analysis.pdf" target="_blank" >https://asap.ite.tul.cz/wp-content/uploads/sites/3/2024/06/Double_non_stationarity___Analysis.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2024.3407162" target="_blank" >10.1109/TSP.2024.3407162</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures — Performance Analysis

Popis výsledku v původním jazyce

Non-Gaussianity and non-stationarity are strong features on the basis of which blind source extraction (BSE) becomes a powerful signal processing tool. The recently proposed double nonstationarity model exploits both properties in the mixing and source models, which significantly broadens the class of identifiable signals. In this article, Craméer-Rao and performance analyses are presented, including the complex-valued case, non-circularity, joint extraction, and non-stationary mixing useful for moving source extraction. Besides identifiability conditions and achievable extraction accuracy, the results reveal the influence of a source model misspecification. Of particular interest is the case when the source of interest is Gaussian, which is not identifiable without taking into account source non-stationarity. The validity of the analyses is experimentally confirmed and compared with the empirical performance of the FastDIVA algorithm. It is shown that the closed-form expression obtained from the analysis can be used as information about the achieved interference-to-signal ratio without knowing the groundtruth signals.

Název v anglickém jazyce

Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures — Performance Analysis

Popis výsledku anglicky

Non-Gaussianity and non-stationarity are strong features on the basis of which blind source extraction (BSE) becomes a powerful signal processing tool. The recently proposed double nonstationarity model exploits both properties in the mixing and source models, which significantly broadens the class of identifiable signals. In this article, Craméer-Rao and performance analyses are presented, including the complex-valued case, non-circularity, joint extraction, and non-stationary mixing useful for moving source extraction. Besides identifiability conditions and achievable extraction accuracy, the results reveal the influence of a source model misspecification. Of particular interest is the case when the source of interest is Gaussian, which is not identifiable without taking into account source non-stationarity. The validity of the analyses is experimentally confirmed and compared with the empirical performance of the FastDIVA algorithm. It is shown that the closed-form expression obtained from the analysis can be used as information about the achieved interference-to-signal ratio without knowing the groundtruth signals.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/GA20-17720S" target="_blank" >GA20-17720S: Pokročilé modely směsí pro slepou extrakci signálů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Signal Processing

ISSN

1053-587X

e-ISSN

—

Svazek periodika

72

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

3228 - 3241

Kód UT WoS článku

001282373000014

EID výsledku v databázi Scopus

2-s2.0-85195425579