An efficient multistage decomposition approach for independent components
type: Item
instance of: scholarly article
title: An efficient multistage decomposition approach for independent components
zbMATH Open document ID: 1011.94509
DOI: 10.1016/S0165-1684(02)00390-0
author: Dazheng Feng
author: Xianda Zhang
author: Zheng Bao
published in: Signal Processing
publication date: 2003-01-21T00:00:00Z
review text: We present an efficient off-line algorithm for sequentially extracting one independent component from simultaneously mixed data corrupted by the spatially colored noises. For this purpose, this paper develops a new criterion and its efficient search algorithm to achieve the extraction of an independent component. The algorithm is an efficient, off-line update approach and can find the global optimal solution of the cost function defined in this paper. By the systematic multistage decomposition and multistage reconstruction, we can get all the independent components. This algorithm uses only the second-order statistics of the source signals and is suited particularly to separate the temporally colored signals. The main advantage of this algorithm over the conventional jointly approximated diagonalization of eigenmatrices (JADE) is its ability to separate sources from the simultaneously mixed data with the spatially colored noises.
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 1856749
zbMATH Keywords: independent components
zbMATH Keywords: blind source separation
zbMATH Keywords: JADE
MaRDI profile type: Publication
full work available at URL: s0165-1684(02)00390-0
OpenAlex ID: W2006315915
description: scientific article; zbMATH DE number 1856749