Waveform equalizer apparatus formed of neural network, and metho

Details Waveform equalizer apparatus formed of neural network, and metho Waveform equalizer apparatus formed of neural network, and metho

1992-01-31

1994-11-01

MacDonald, Allen R.

395909, G06F 1518

Patent

active

053613279

ABSTRACT:
A waveform equalizer for reducing distortion of a digital signal produced from a digital data recording and playback system or transmission system is formed of a neural network having fixed weighting coefficients. Respective values for the coefficients are established by generating a corresponding simulated neuron network, by software implementation using a computer, and by executing a neuron network learning operation using input values obtained from a distorted digital signal and teaching values obtained from an original digital signal which resulted in the distorted digital signal.

REFERENCES:
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Adaptive Equalization of Finite Non-Linear Channels Using Multilayer Perceptons; Signal Processing 20 (1990) 107-119; Elsevier Science Pub.; Gibson et al; Jun. 1990; pp. 107-119.
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Gibson "Multilayer Perception Structures Applied to Adaptive Equalizers for Data Communications" 1989 International Conference on Acoustics, Speech and Signal Processing, 23-26 May 1989, pp. 1183-1186.

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