Detail publikace

Locally adaptive learning algorithm for separation of mixed signals

EKSLER, V., MALENOVSKÝ, M.

Originální název

Locally adaptive learning algorithm for separation of mixed signals

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper we want to introduce locally adaptive learning algorithm using feed-forward neural network for independent component analysis. The goal is to reconstruct original signals, which are mixed and picked up by the sensor array using blind signal processing techniques. In short we can formulate the problem as separation or estimation of the waveforms of the original sources from an array of sensors without knowing the characteristics of the transmission channel. We show a simulation of 5-input mixing system with ill-conditioned problems.

Klíčová slova

source separation, mixed signals, blind signal processing, independent component analysis

Autoři

EKSLER, V., MALENOVSKÝ, M.

Rok RIV

2004

Vydáno

15. 9. 2004

Nakladatel

ČVUT

Místo

Praha

ISBN

80-01-03063-6

Kniha

RTT 2004 - communication with future

Strany od

1

Strany do

4

Strany počet

4

BibTex

@inproceedings{BUT11446,
  author="Václav {Eksler} and Marek {Malenovský}",
  title="Locally adaptive learning algorithm for separation of mixed signals",
  booktitle="RTT 2004 - communication with future",
  year="2004",
  pages="4",
  publisher="ČVUT",
  address="Praha",
  isbn="80-01-03063-6"
}