Performance enhancement of a radial basis function equalizer using nonlinear combining in digital magnetic storage channels

Sooyong Choi; Daesik Hong

Performance enhancement of a radial basis function equalizer using nonlinear combining in digital magnetic storage channels

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Conference article

Abstract

A multilayer perceptron RBFMLPEQ is proposed to enhance the performance of neural equalizer (NE) and to simplify the structure of RBFEQ. Through a simple simulation, it is shown that the RBFMLPEQ is capable of augmenting the performance of bit error ratio of NE and also has almost equal or superior performance compared to that of RBFEQ which is equal to Bayesian equalizer.

Original language	English
Pages (from-to)	AD-06
Journal	Digests of the Intermag Conference
Publication status	Published - 1999 Dec 1
Event	Proceedings of the 1999 IEEE International Magnetics Conference 'Digest of Intermag 99' - Kyongju, South Korea Duration: 1999 May 18 → 1999 May 21

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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Choi, S., & Hong, D. (1999). Performance enhancement of a radial basis function equalizer using nonlinear combining in digital magnetic storage channels. Digests of the Intermag Conference, AD-06.

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abstract = "A multilayer perceptron RBFMLPEQ is proposed to enhance the performance of neural equalizer (NE) and to simplify the structure of RBFEQ. Through a simple simulation, it is shown that the RBFMLPEQ is capable of augmenting the performance of bit error ratio of NE and also has almost equal or superior performance compared to that of RBFEQ which is equal to Bayesian equalizer.",

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AU - Hong, Daesik

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N2 - A multilayer perceptron RBFMLPEQ is proposed to enhance the performance of neural equalizer (NE) and to simplify the structure of RBFEQ. Through a simple simulation, it is shown that the RBFMLPEQ is capable of augmenting the performance of bit error ratio of NE and also has almost equal or superior performance compared to that of RBFEQ which is equal to Bayesian equalizer.

AB - A multilayer perceptron RBFMLPEQ is proposed to enhance the performance of neural equalizer (NE) and to simplify the structure of RBFEQ. Through a simple simulation, it is shown that the RBFMLPEQ is capable of augmenting the performance of bit error ratio of NE and also has almost equal or superior performance compared to that of RBFEQ which is equal to Bayesian equalizer.

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