Journal Article

Optimization issues in noisy Gaussian ICA

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3195 41-48
DOI: 10.1007/978-3-540-30110-3_6
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Abstract

This paper addresses the blind separation of noisy mixtures of independent sources. It discusses issues and techniques related to computing maximum likelihood estimates in Gaussian models. © Springer-Verlag 2004.

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Cardoso, J. F., & Pham, D. T. (2004). Optimization issues in noisy Gaussian ICA. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 41–48. https://doi.org/10.1007/978-3-540-30110-3_6

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