Topic
Volterra series
About: Volterra series is a research topic. Over the lifetime, 2731 publications have been published within this topic receiving 46199 citations.
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TL;DR: A partially decoupled variation of the RLS algorithm based on a constrained optimization of the cumulative filter error using the higher order sets of filter weights to improve on the performance of the lower order weight sets whose values are already established is considered.
Abstract: In this correspondence, we consider a partially decoupled variation of the RLS algorithm. It is based on a constrained optimization of the cumulative filter error using the higher order sets of filter weights to improve on the performance of the lower order weight sets whose values are already established. From this constrained optimization, a recursive algorithm is developed whose form closely resembles the standard Volterra RLS algorithm but with structural differences that arise from eliminating the dependence of the lower order weight sets on the higher order weight sets while retaining the dependence of the higher order weights on the lower order weights. The resulting algorithm, while suboptimal, requires less computational effort than the fully coupled version, converges to steady state in the same amount of time, and is shown by example not to exhibit a substantial degradation in performance.
21 citations
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TL;DR: In this paper, a nonlinear system with memory and two input ports and one output port is considered, and it is assumed that the system can be represented by a double Volterra series.
Abstract: Consider a nonlinear system, with memory, which has two input ports and one output port. It is assumed that the system can be represented by a double Volterra series. Two results for such a system are stated in Part I. The first is a general expression for the sinusoidal components of the output y (t) when the two inputs x u (t) and x v (t) are sums of sinusoidal terms. The second result is an expression for the power spectrum of y (t) when x u (t) is a stationary Gaussian process and x v (t) = P cos pt. Part II is concerned with using results from the theory of Volterra series for multi-input systems to calculate the third-order distortion in an idealized frequency converter.
21 citations
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TL;DR: An approach based on a stochastic version of Volterra series is proposed to be used in the detection of a breathing crack in a beam vibrating in a nonlinear regime of motion, even in reference condition (without crack).
21 citations
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TL;DR: In this paper, a method for determining whether a given Volterra kernel can be synthesized exactly by using only a finite number of multipliers is presented, where the use of the techniques discussed here is illustrated by examples.
Abstract: A problem in the practical application of the Volterra series to nonlinear theory is the synthesis of systems with a given set of Volterra kernels. In this article we present a method of determining whether a given Volterra kernel can be synthesized exactly by using only a finite number of multipliers. A method for the synthesis of such kernels is also presented. The use of the techniques discussed here is illustrated by examples.
21 citations
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24 May 1999TL;DR: In this paper, a non-linear dynamic model of a large-signal amplifier based on a Volterra-like integral series expansion has been deduced and the measurement procedure for the evaluation of model parameters has been given.
Abstract: A non-linear dynamic model of a large-signal amplifier based on a Volterra-like integral series expansion has been deduced and the measurement procedure for the evaluation of model parameters has been given.
21 citations