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CreatorTitleDescriptionSubjectDate
1 Mathews, V. JohnFixed-point error analysis of stochastic gradient adaptive lattice filtersAbstract-This paper presents a theoretical analysis of the stochastic gradient adaptive lattice filter used as a linear, one-step predictor, when the effects of finite precision arithmetic are taken into account. Only the fixed-point implementation is considered here. Both the unnormalized and norma...1990
2 Mathews, V. JohnLattice and QR decomposition-based algorithms for recursive least squares adaptive nonlinear filtersThis paper presents a lattice structure for adaptive Volterra systems. The stucture is applicable to arbitrary planes of support of the Volterra kernels. A fast least squares lattice and a fast QR-lattice adaptive nonlinear filtering algorithms based on the lattice structure are also presented. The...1990
3 Mathews, V. JohnStochastic gradient adaptive filters with gradient adaptive step sizesThis paper presents two adaptive step-size gradient adaptive filters. The step sizes are changed using a gradient descent algorithm designed to minimize the squared estimation error. The first algorithm uses the same step-size sequence for all the filter coefficients whereas the second algorithm use...1990
4 Mathews, V. JohnTracking analysis of the sign algorithm in nonstationary environmentsAbstract-This paper presents a tracking analysis of the adaptive filters equipped with the sign algorithm and operating in nonstationary environments. Under the assumption that the nonstationarity can be modeled using a random disturbance, it is shown that the long-term time average of the mean-abso...1990
5 Mathews, V. JohnTracking analysis of the sign algorithm in nonstationary environmentsThis paper presents a tracking analysis of the adaptive filters equipped with the sign algorithm and operating in nonstationary environments. Under the assumption that the nonstationarity can be modeled using a random disturbance, it is shown that the long-term time average of the mean-absolute erro...1990
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