The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Blind signal separation: statistical principles
Abstract
Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis that aim to recover unobserved signals or "sources" from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals. The weakness of the assumptions makes it a powerful approach, but it requires us to venture beyond familiar second order statistics, The objectives of this paper are to review some of the approaches that have been developed to address this problem, to illustrate how they stem from basic principles, and to show how they relate to each other.
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Citations
Cites
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Cited by
Lee, T.-W., Girolami, M., & Sejnowski, T. J. (1999) · Neural Computation · doi:10.1162/089976699300016719 · Cited by 1,967
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
Lahat, D., Adali, T., & Jutten, C. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2460697 · Cited by 1,296
Statistical process monitoring with independent component analysis
Lee, J.-M., Yoo, C., & Lee, I.-B. (2004) · Journal of Process Control · doi:10.1016/j.jprocont.2003.09.004 · Cited by 746
Kotliar, D., Veres, A., Nagy, M. A., Tabrizi, S., Hodis, E., Melton, D. A., & Sabeti, P. C. (2019) · eLife · doi:10.7554/elife.43803 · Cited by 563
xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain–Computer Interface
Rivet, B., Souloumiac, A., Attina, V., & Gibert, G. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2012869 · Cited by 537
Metadata
- Authors
- Cardoso, J.-F.
- Venue
- Proceedings of the IEEE
- Published
- 1998
- Volume
- 86
- Issue
- 10
- Pages
- 2009-2025
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2119647652
- Cited by
- 1,885
- References
- 1
- FWCI
- 75.07
- Type
- journal article
- Language
- en
- Open access
- closed
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