Abstract
The aim of the present paper is to propose a estimation algorithm of the ICA model, an algorithm based on successive approximations. The convergence rate of the successive approximations method are substantiated for the bidimensional case, a case which presents interest from a practical point of view, and we want to establish the performances of the proposed algorithm to estimate the independent components. Comparative analysis is done and experimentally derived conclusions on the performance of the proposed method are drawn in the last section of the paper for signals recognition applications.
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Constantin, D., State, L. (2008). An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate. In: Perales, F.J., Fisher, R.B. (eds) Articulated Motion and Deformable Objects. AMDO 2008. Lecture Notes in Computer Science, vol 5098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70517-8_39
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DOI: https://doi.org/10.1007/978-3-540-70517-8_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70516-1
Online ISBN: 978-3-540-70517-8
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