NDLI: Transform domain neural filters

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Transform domain neural filters

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Transform domain neural filters

Content Provider	IEEE Xplore Digital Library
Author	Nakanishi, I. Itoh, Y. Fukui, Y.
Copyright Year	1999
Description	Author affiliation: Fac. of Educ., Tottori Univ., Japan (Nakanishi, I.)
Abstract	A neural filter is effective for the system identification of a nonlinear system and the noise reduction in a nonlinear signal. However, the neural filter requires large number of iterations for convergence. This paper presents new structures of the multi-layered neural filter (Transform Domain Neural Filter; TDNF) where the orthonormal transform is introduced to accelerate the convergence speed. In the TDNF (i), the input signal is transformed by the orthonormal transform, then led to the input layer of the neural filter. The TDNF (ii) adopts the orthonormal transform in all inter-layers. Through the computer simulation in the nonlinear system identification, it is confirmed that the introduction of the orthonormal transform is effective for the speed-up of convergence in the neural filter.
Starting Page	579
Ending Page	582
File Size	309136
Page Count	4
File Format	PDF
ISBN	0780354710
DOI	10.1109/ISCAS.1999.777638
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-05-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convergence Acceleration Adaptive filters Signal processing Nonlinear filters Neural networks System identification Eigenvalues and eigenfunctions Autocorrelation Discrete transforms
Content Type	Text
Resource Type	Article

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