Orthogonally Constrained Independent Component Extraction: A Blind Minimum Power Distortionless Beamformer

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00004535" target="_blank" >RIV/46747885:24220/17:00004535 - isvavai.cz</a>

Result on the web

<a href="https://asap.ite.tul.cz/wp-content/uploads/sites/3/2017/06/blindMPDRv3.pdf" target="_blank" >https://asap.ite.tul.cz/wp-content/uploads/sites/3/2017/06/blindMPDRv3.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/EUSIPCO.2017.8081389" target="_blank" >10.23919/EUSIPCO.2017.8081389</a>

Result language

angličtina

Original language name

Orthogonally Constrained Independent Component Extraction: A Blind Minimum Power Distortionless Beamformer

Original language description

We propose a novel technique for the extraction of one independent component from an instantaneous linear complex-valued mixture of signals. The mixing model is optimized in terms of the number of parameters that are necessary to simultaneously estimate one column of the mixing matrix and one row of the de-mixing matrix, which both correspond to the desired source. The desired source is assumed to have a non-Gaussian distribution, while the other sources are modeled, for simplicity, as Gaussian-distributed, although in applications the other sources can be arbitrary. We propose an algorithm that can be interpreted as a blind self-steering Minimum-Power Distortionless Response (MPDR) beamformer. The method is compared with the popular Natural Gradient algorithm for general Independent Component Analysis. Their performances are comparable but the proposed method has a lower computational complexity; in examples, it is about four times faster.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA17-00902S" target="_blank" >GA17-00902S: Advanded Joint Blind Source Separation Methods</a><br>

Continuities

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

Publication year

2017

Confidentiality

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

Article name in the collection

25th European Signal Processing Conference, EUSIPCO 2017

ISBN

978-0-9928626-7-1

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

1155-1159

Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

Kos, Greece

Event location

Kos, Greece

Event date

Jan 1, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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