1. A hybrid stochastic gradient adaptation method, said method comprising the steps of: first filtering an excitation signal to yield a filtered excitation signal therefrom; second filtering a consequence signal to yield a filtered consequence signal therefrom; calculating a stochastic gradient as a function of said filtered excitation signal and said filtered consequence signal; generating a momentum feedback signal from said stochastic gradient values and adding said momentum feedback signal to said stochastic gradient output to yield a new output parameter therefrom; and adding said new output parameter value to a current output parameter value to generate an updated output parameter therefrom.