Title: | Adaptive methods for score function modeling in blind source separation |
Author(s): | Karvanen, Juha |
Date: | 2002-08-26 |
Language: | en |
Pages: | 67, [59] |
Department: | Department of Electrical and Communications Engineering Sähkö- ja tietoliikennetekniikan osasto |
ISBN: | 951-22-5915-X |
Series: | Report / Helsinki University of Technology, Signal Processing Laboratory, 35 |
ISSN: | 1458-6401 |
Subject: | Electrical engineering |
Keywords: | blind source separation, independent component analysis, Pearson system, generalized lambda distribution, method of moments, L-moments, kurtosis, skewness |
OEVS yes | |
Digitized thesis: | ask |
|
|
Abstract:In signal processing and related fields, multichannel measurements are often encountered. Depending on the application, for instance, multiple antennas, multiple microphones or multiple biomedical sensors are used for the data acquisition. Such systems can be described using Multiple-Input Multiple-Output (MIMO) system models. In many cases, several source signals are present at the same time and there is only limited knowledge of their properties and how they contribute to each sensor output. If the source signals and the physical system are unknown and only the sensor outputs are observed, the processing methods developed for recovering the original signals are called blind.
|
|
Parts:J. Karvanen, J. Eriksson and V. Koivunen. Pearson System based Method for Blind Separation. In Proc. of The Second International Workshop on Independent Component Analysis and Blind Signal Separation, ICA2000, pages 585-590, June 2000.J. Eriksson, J. Karvanen and V. Koivunen. Source Distribution Adaptive Maximum Likelihood Estimation of ICA Model. In Proc. of The Second International Workshop on Independent Component Analysis and Blind Signal Separation, ICA2000, pages 227-232, June 2000.J. Karvanen, J. Eriksson and V. Koivunen. Maximum Likelihood Estimation of ICA model for Wide Class of Source Distributions. In Proc. of the 2000 IEEE Workshop on Neural Networks for Signal Processing X, pages 445-454, December 2000.J. Karvanen and V. Koivunen. Blind Separation of Communication Signals Using Pearson System Based Method. In Proc. of The Thirty-Fifth Annual Conference on Information Sciences and Systems, Volume II, pages 764-767, March 2001.J. Karvanen and V. Koivunen. Blind Separation Methods Based on Pearson system and its Extensions. Signal Processing Volume 82, Issue 4, pages 663-673, April 2002.J. Karvanen, J. Eriksson and V. Koivunen. Adaptive Score Functions for Maximum Likelihood ICA. Journal of VLSI Signal Processing, Volume 32, pages 83-92, 2002.J. Karvanen and V. Koivunen. Blind Separation using Absolute Moments Based Adaptive Estimating Function. In Proc. of the Third International Conference on Independent Component Analysis and Signal Separation, ICA2001, pages 218-223, December 2001. |
|
|
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Page content by: Aalto University Learning Centre | Privacy policy of the service | About this site