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EKSLER, V., MALENOVSKÝ, M.
Originální název
Locally adaptive learning algorithm for separation of mixed signals
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
source separation, mixed signals, blind signal processing, independent component analysis
Klíčová slova v angličtině
Autoři
Rok RIV
2011
Vydáno
15.09.2004
Nakladatel
ČVUT
Místo
Praha
ISBN
80-01-03063-6
Kniha
RTT 2004 - communication with future
Strany od
1
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" }