Independent Component Analysis for Audio and Biosignal Applications
Independent 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 applicati...
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| Format: | Online |
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| Jezik: | angleščina |
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IntechOpen
2021
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| Online dostop: | ONIX_20210420_9789535107828_1594 |
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| _version_ | 1869521723126185984 |
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| collection | Directory of Open Access Books |
| description | Independent 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. |
| format | Online |
| id | doab-20.500.12854ir-66236 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-662362024-03-31T13:08:41Z Independent Component Analysis for Audio and Biosignal Applications R Naik, Ganesh Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct Independent 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. 2021-04-20T15:37:34Z 2021-04-20T15:37:34Z 2012 book ONIX_20210420_9789535107828_1594 9789535107828 9789535162452 https://directory.doabooks.org/handle/20.500.12854/66236 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/2715/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/3084 10.5772/3084 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535107828 9789535162452 IntechOpen 358 open access |
| spellingShingle | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct Independent Component Analysis for Audio and Biosignal Applications |
| title | Independent Component Analysis for Audio and Biosignal Applications |
| title_full | Independent Component Analysis for Audio and Biosignal Applications |
| title_fullStr | Independent Component Analysis for Audio and Biosignal Applications |
| title_full_unstemmed | Independent Component Analysis for Audio and Biosignal Applications |
| title_short | Independent Component Analysis for Audio and Biosignal Applications |
| title_sort | independent component analysis for audio and biosignal applications |
| topic | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct |
| topic_facet | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct |
| url | ONIX_20210420_9789535107828_1594 |