All-sky astrophysical component separation with Fast Independent Component Analysis (FASTICA)
Top Cited Papers
Open Access
- 21 July 2002
- journal article
- research article
- Published by Oxford University Press (OUP) in Monthly Notices of the Royal Astronomical Society
- Vol. 334 (1) , 53-68
- https://doi.org/10.1046/j.1365-8711.2002.05425.x
Abstract
No abstract availableKeywords
All Related Versions
This publication has 17 references indexed in Scilit:
- Multiple Peaks in the Angular Power Spectrum of the Cosmic Microwave Background: Significance and Consequences for CosmologyThe Astrophysical Journal, 2002
- Neural networks and the separation of cosmic microwave background and astrophysical signals in sky mapsMonthly Notices of the Royal Astronomical Society, 2000
- Isotropic wavelets: a powerful tool to extract point sources from cosmic microwave background mapsMonthly Notices of the Royal Astronomical Society, 2000
- Wavelet analysis and the detection of non-Gaussianity in the cosmic microwave backgroundMonthly Notices of the Royal Astronomical Society, 1999
- Gaussian moments for noisy independent component analysisIEEE Signal Processing Letters, 1999
- Foreground separation methods for satellite observations of the cosmic microwave backgroundMonthly Notices of the Royal Astronomical Society, 1998
- Adaptive blind signal processing-neural network approachesProceedings of the IEEE, 1998
- Blind signal separation: statistical principlesProceedings of the IEEE, 1998
- A Fast Fixed-Point Algorithm for Independent Component AnalysisNeural Computation, 1997
- Independent component analysis, A new concept?Signal Processing, 1994