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Abstract

A system and method of reducing or eliminating training for adaptive receiver and neural networks is disclosed. The adaptive filter or neural network is pre-training using simulation or empirically received data and a took-up table is created. Coefficient instantiation from the receiver for ail permutations of the key parameters of training data are stored along with the key parameters within the look-up table. After creating the look-up table, the key parameters of the signal to be decoded are estimated. The coefficient of filter or neural network for the estimated key parameters is obtained by accessing the loop-up table. The demodulated signal is produced by setting the filter or neural network coefficents to coefficient values obtained from the look-up table. For slow varying key parameters, the coefficients from the lookup table are occasionally replaced instead of implementing the adaptive filter or neural network.

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