@inproceedings{aefb2a8817db4c68af85d5d7bb5e16ef,
title = "A semi-blind EM algorithm for overcomplete ICA",
abstract = "Overcomplete independent component analysis (ICA) is a challenge of ICA to estimate more sources from less mixtures. The statistical properties of the sonrces snch as sparsity are often assnmed to solve the problem. Other available information about the sources such as waveform, however, is scarcely used. Motivated by the fact that semi- blind ICA in complete case can improve the potential of ICA by incorporating source information, this paper proposes a semi-blind algorithm for overcomplete ICA by explicitly utilizing waveform information about some sources. An approximate expectation-maximization (EM) algorithm is explored to provide normal cost function of the semi-blind algorithm while the prior information is utilized to form an extended one. Computer simulations results demonstrate that the proposed algorithm has much improved performance in SNR, convergence speed, and elimination of order ambiguity compared to the original EM algorithm.",
keywords = "EM algorithm, Independent component analysis, Overcomplete ICA, Semi-blind ICA",
author = "Qiuhua Lin and Ning Xu and Hualou Liang",
year = "2009",
month = may,
day = "26",
doi = "10.1109/ICASSP.2009.4959938",
language = "English",
isbn = "9781424423545",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "IEEE",
pages = "1733--1736",
booktitle = "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009",
address = "United States",
note = "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 ; Conference date: 19-04-2009 Through 24-04-2009",
}