Extraction of specific signals with temporal structure

Allan Kardec Barros, Andrzej Cichocki

Research output: Contribution to journalArticlepeer-review

205 Citations (Scopus)

Abstract

In this work we develop a very simple batch learning algorithm for semi-blind extraction of a desired source signal with temporal structure from linear mixtures. Although we use the concept of sequential blind extraction of sources and independent component analysis, we do not carry out the extraction in a completely blind manner; neither do we assume that sources are statistically independent. In fact, we show that the a priori information about the autocorrelation function of primary sources can be used to extract the desired signals (sources of interest) from their linear mixtures. Extensive computer simulations and real data application experiments confirm the validity and high performance of the proposed algorithm.

Original languageEnglish
Pages (from-to)1995-2003
Number of pages9
JournalNeural computation
Volume13
Issue number9
DOIs
Publication statusPublished - Sep 2001
Externally publishedYes

Fingerprint

Dive into the research topics of 'Extraction of specific signals with temporal structure'. Together they form a unique fingerprint.

Cite this