Independent Component Analysis

Ke-Lin Du () and M. N. S. Swamy
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Ke-Lin Du: Concordia University, Department of Electrical and Computer Engineering
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 15 in Neural Networks and Statistical Learning, 2019, pp 447-482 from Springer

Abstract: Abstract Blind source separation is a basic topic in signal and image processing. Independent component analysis is a basic solution to blind source separation. This chapter introduces blind source separation, with importance attached to independent component analysis. Some methods related to source separation for time series are also mentioned.

Date: 2019
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DOI: 10.1007/978-1-4471-7452-3_15

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