The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex Valued Signals
Abstract
Separation of complex valued signals is a frequently arising problem in signal processing. For example, separation of convolutively mixed source signals involves computations on complex valued signals. In this article, it is assumed that the original, complex valued source signals are mutually statistically independent, and the problem is solved by the independent component analysis (ICA) model. ICA is a statistical method for transforming an observed multidimensional random vector into components that are mutually as independent as possible. In this article, a fast fixed-point type algorithm that is capable of separating complex valued, linearly mixed source signals is presented and its computational efficiency is shown by simulations. Also, the local consistency of the estimator given by the algorithm is proved.
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Cites
Mining association rules between sets of items in large databases
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Learning the parts of objects by non-negative matrix factorization
Lee, D. D., & Seung, H. S. (1999) · Nature · doi:10.1038/44565 · Cited by 13,868
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Blei, D. M., Ng, A. Y., & Jordan, M. I. (2002) · Advances in Neural Information Processing Systems 14 · doi:10.7551/mitpress/1120.003.0082 · Cited by 12,223
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Independent component analysis, A new concept?
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ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION
Lee, D. D., & Seung, H. S. (2000) · Cited by 7,952
Independent Component Analysis
(2004) · Independent Component Analysis · doi:10.7551/mitpress/3717.003.0014 · Cited by 7,903
Fast and robust fixed-point algorithms for independent component analysis
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Cited by
Decoding Covert Speech From EEG-A Comprehensive Review
Panachakel, J. T., & Ramakrishnan, A. G. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.642251 · Cited by 156
Metadata
- Authors
- Bingham, E.
- Venue
- International Journal of Neural Systems
- Publisher
- World Scientific Pub Co Pte Ltd
- Published
- 2000-02
- Volume
- 10
- Issue
- 1
- Pages
- 1-8
- ISSN
- 0129-0657 (ISSN-L)
- OpenAlex
- W1974388905
- Cited by
- 854
- References
- 38
- FWCI
- 22.89
- Type
- journal article
- Language
- en
- Open access
- closed
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