Monotonic convergence of fixed-point algorithms for ICA

We re-examine a fixed-point algorithm proposed by Hyvarinen for independent component analysis, wherein local convergence is proved subject to an ideal signal model using a square invertible mixing matrix. Here, we derive step-size bounds which ensure monotonic convergence to a local extremum for an...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on neural networks Ročník 14; číslo 4; s. 943 - 949
Hlavní autori: Regalia, P.A., Kofidis, E.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States IEEE 01.07.2003
Institute of Electrical and Electronics Engineers
Predmet:
Algorithms
Appeals
Background noise
Convergence
Engineering Sciences
Fixed points (mathematics)
Image restoration
Independent component analysis
Information processing
Initial conditions
Mathematical models
Neural networks
Probability density function
Random variables
Sensors
Signal analysis
Signal and Image processing
Signal restoration
Vectors
Non-Gaussian signals
Fixed-point algorithms
Monotonic convergence
Independent component analysis (ICA)
ISSN:1045-9227
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:We re-examine a fixed-point algorithm proposed by Hyvarinen for independent component analysis, wherein local convergence is proved subject to an ideal signal model using a square invertible mixing matrix. Here, we derive step-size bounds which ensure monotonic convergence to a local extremum for any initial condition. Our analysis does not assume an ideal signal model but appeals rather to properties of the contrast function itself, and so applies even with noisy data and/or more sources than sensors. The results help alleviate the guesswork that often surrounds step-size selection when the observed signal does not fit an idealized model.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:1045-9227
DOI:10.1109/TNN.2003.813843