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A FAST ASYMPTOTICALLY EFFICIENT ALGORITHM FOR BLIND SEPARATION OF A LINEAR MIXTURE OF BLOCK-WISE STATIONARY AUTOREGRESSIVE PROCESSES

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F09%3A%230001339" target="_blank" >RIV/46747885:24220/09:#0001339 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A FAST ASYMPTOTICALLY EFFICIENT ALGORITHM FOR BLIND SEPARATION OF A LINEAR MIXTURE OF BLOCK-WISE STATIONARY AUTOREGRESSIVE PROCESSES

  • Original language description

    We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instantaneous linear mixtures of blockwise stationary Gaussian autoregressive processes. A novel closed-form formula is derived for a Cramer Rao lower bound on elements of the corresponding Interference-to-Signal Ratio (ISR) matrix. This theoretical ISR matrix can serve as an estimate of the separation performance on the particular data. In simulations, the algorithm is shown to be applicable in blind separation of a linear mixture of speech signals.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GP102%2F07%2FP384" target="_blank" >GP102/07/P384: Application of State-of-the-art Methods for Independent Component Analysis on Blind Separation of Real Signals</a><br>

  • Continuities

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

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

  • ISBN

    978-1-4244-2353-8

  • ISSN

    1520-6149

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

  • Place of publication

    TAIWAN

  • Event location

    TAIWAN

  • Event date

    Jan 1, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article