NDLI: Innovation Method for Dynamic Independent Component Analysis: A New Concept and Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yu Yonglin Wang Gang
Copyright Year	2009
Abstract	The inner time-structure information is consideredfor the dynamic independent component analysis (DICA)model, and the new concept of innovation and correspondingalgorithm are presented. When the innovation is applied inDICA, a new linear mixing model of innovation DICA (IDICA)can be obtained in which the assumptions of independence andnon-Gaussianity for the basic ICA model are also satisfied,and the non-Gaussianity of latent components increase.What’s more, the mixing matrix (or demixing matrix)estimated from IDICA model is also available for originalDICA model. Then the new algorithm of (IDICA) is presented,and the effects of IDICA are discussed. It is validated that itcan accelerate the convergence rate with the increasing of thelatent component’s non-Gaussianity, but has little influence onthe convergence accuracy. In performing innovation, theadaptive filter based on Minimum Square Error (MSE) isproposed. The experimental results show the new method’sefficient and available.
Starting Page	428
Ending Page	431
File Size	2176510
Page Count	4
File Format	PDF
ISBN	9780769535715
DOI	10.1109/GCIS.2009.193
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	innovation Technological innovation convergence Adaptive filters Independent component analysis Adaptive signal processing Vectors Convergence Signal processing algorithms Gaussian processes dynamic independent component analysis gaussianity Acceleration Intelligent systems
Content Type	Text
Resource Type	Article

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