Convergence analysis of a simple minor c
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Dezhong Peng; Zhang Yi; Wenjing Luo
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Article
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2007
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Elsevier Science
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English
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Minor component analysis (MCA) is a powerful statistical tool for signal processing and data analysis. Convergence of MCA learning algorithms is an important issue in practical applications. In this paper, we will propose a simple MCA learning algorithm to extract minor component from input signals.