Noise suppressing sensor encoding and neural signal orthonormalization

  • In this paper we regard first the situation where parallel channels are disturbed by noise. With the goal of maximal information conservation we deduce the conditions for a transform which "immunizes" the channels against noise influence before the signals are used in later operations. It shows up that the signals have to be decorrelated and normalized by the filter which corresponds for the case of one channel to the classical result of Shannon. Additional simulations for image encoding and decoding show that this constitutes an efficient approach for noise suppression. Furthermore, by a corresponding objective function we deduce the stochastic and deterministic learning rules for a neural network that implements the data orthonormalization. In comparison with other already existing normalization networks our network shows approximately the same in the stochastic case but, by its generic deduction ensures the convergence and enables the use as independent building block in other contexts, e.g. whitening for independent component analysis. Keywords: information conservation, whitening filter, data orthonormalization network, image encoding, noise suppression.

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Metadaten
Author:Rüdiger W. BrauseGND, Michael Rippl
URN:urn:nbn:de:hebis:30-79104
Document Type:Article
Language:English
Date of Publication (online):2010/09/08
Year of first Publication:1998
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2010/09/08
Tag:data orthonormalization network; image encoding; information conservation; noise suppression; whitening filter
Note:
Postprint, zuerst in: IEEE Transactions on Neural Networks, Vol.9, No.4, pp.613-628, (1998)
Source:IEEE Transactions on Neural Networks, vol. 9, no. 4, pp. 613-628 (1998)
HeBIS-PPN:227680642
Institutes:Informatik und Mathematik / Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht