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dc.contributor.editorR Naik, Ganesh
dc.date.accessioned2021-04-20T15:37:34Z
dc.date.available2021-04-20T15:37:34Z
dc.date.issued2012
dc.identifierONIX_20210420_9789535107828_1594
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/66236
dc.description.abstractIndependent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image processing, telecommunications, medical signal processing and several data mining issues. This book brings the state-of-the-art of some of the most important current research of ICA related to Audio and Biomedical signal processing applications. The book is partly a textbook and partly a monograph. It is a textbook because it gives a detailed introduction to ICA applications. It is simultaneously a monograph because it presents several new results, concepts and further developments, which are brought together and published in the book.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::M Medicine::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics & professional conducten_US
dc.subject.otherMedical bioinformatics
dc.titleIndependent Component Analysis for Audio and Biosignal Applications
dc.typebook
oapen.identifier.doi10.5772/3084
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535107828
oapen.relation.isbn9789535162452
oapen.imprintIntechOpen
oapen.pages358


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