Independent component analysis: An introduction
Independent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as a black box, without understanding its internal details. Therefore, in this paper, the basics of ICA are provided to show how it works to ser...
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| Format: | Article |
| Language: | English |
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Emerald Publishing
2021-04-01
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| Series: | Applied Computing and Informatics |
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| Online Access: | https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.08.006/full/pdf?title=independent-component-analysis-an-introduction |
| _version_ | 1827827152799662080 |
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| author | Alaa Tharwat |
| author_facet | Alaa Tharwat |
| author_sort | Alaa Tharwat |
| collection | DOAJ |
| description | Independent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as a black box, without understanding its internal details. Therefore, in this paper, the basics of ICA are provided to show how it works to serve as a comprehensive source for researchers who are interested in this field. This paper starts by introducing the definition and underlying principles of ICA. Additionally, different numerical examples in a step-by-step approach are demonstrated to explain the preprocessing steps of ICA and the mixing and unmixing processes in ICA. Moreover, different ICA algorithms, challenges, and applications are presented. |
| first_indexed | 2024-03-12T03:22:27Z |
| format | Article |
| id | doaj.art-a319f999758d45eeaaab3c3fefac72ac |
| institution | Directory Open Access Journal |
| issn | 2210-8327 |
| language | English |
| last_indexed | 2024-03-12T03:22:27Z |
| publishDate | 2021-04-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Applied Computing and Informatics |
| spelling | doaj.art-a319f999758d45eeaaab3c3fefac72ac2023-09-03T13:48:47ZengEmerald PublishingApplied Computing and Informatics2210-83272021-04-0117222224910.1016/j.aci.2018.08.006Independent component analysis: An introductionAlaa Tharwat0Faculty of Computer Science and Engineering, Frankfurt University of Applied Sciences, Frankfurt am Main, GermanyIndependent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as a black box, without understanding its internal details. Therefore, in this paper, the basics of ICA are provided to show how it works to serve as a comprehensive source for researchers who are interested in this field. This paper starts by introducing the definition and underlying principles of ICA. Additionally, different numerical examples in a step-by-step approach are demonstrated to explain the preprocessing steps of ICA and the mixing and unmixing processes in ICA. Moreover, different ICA algorithms, challenges, and applications are presented.https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.08.006/full/pdf?title=independent-component-analysis-an-introductionindependent component analysis (ica)blind source separation (bss)cocktail party problemprincipal component analysis (pca) |
| spellingShingle | Alaa Tharwat Independent component analysis: An introduction Applied Computing and Informatics independent component analysis (ica) blind source separation (bss) cocktail party problem principal component analysis (pca) |
| title | Independent component analysis: An introduction |
| title_full | Independent component analysis: An introduction |
| title_fullStr | Independent component analysis: An introduction |
| title_full_unstemmed | Independent component analysis: An introduction |
| title_short | Independent component analysis: An introduction |
| title_sort | independent component analysis an introduction |
| topic | independent component analysis (ica) blind source separation (bss) cocktail party problem principal component analysis (pca) |
| url | https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.08.006/full/pdf?title=independent-component-analysis-an-introduction |
| work_keys_str_mv | AT alaatharwat independentcomponentanalysisanintroduction |