Linear behaviour of bootstrap switches is of critical importance in low-voltage analogue circuits and understanding the major factors affecting the linearity helps design a better switch. This study presents a theoretical approach for evaluating the distortion of bootstrap switches in the frequency domain based on the Volterra series. Five major factors affecting the linearity of the bootstrap ...

Linear Prediction (LP) analysis has proven to be very effective and successful in speech analysis and speech synthesis applications. This may be due to the fact that LP analysis captures implicitly the time-varying vocal tract area function. However, it captures only the second-order statistical relationships and only the linear dependencies in the sequence of samples of speech signals (and not...

The work deals with different kind of voltages, currents and charges, and the used nomenclature is defined here. Voltages, currents, and charges are divided into three groups: DC, AC and instantaneous. DC signals are termed with capital letters without the time-dependence indication “(t)”, e.g. VDS . AC signals are termed with lower case letters and with the time-dependence indication e.g. vds(...

This paper presents a two-step method for control-relevant model reduction of Volterra series models. First, using nonlinear IMC design as a basis, an explicit expression relating the closed-loop performance to the open-loop modeling error is obtained. Secondly, an optimization problem that seeks to minimize the closed-loop error subject to the restriction of a reduced-order model is posed. By ...

Abstract A consequence of nonlinearities is a multi-harmonic response via mono-harmonic excitation. similar phenomenon also exists in random vibration. The power spectral density (PSD) analysis vibration for nonlinear systems studied this paper. analytical formulation output PSD subject to the zero-mean Gaussian load deduced by using Volterra series expansion and conception generalized frequenc...

2. THE MOTION DETECTION MODEL In this paper we propose and analyze a motion detection Neural networks that are based on modulation of con-circuit which is based on nerve membrane conduction. It ductance of nerve membranes by other cells of the network consists of two unidirectional neural networks connected have been studied extensively and found to have widely in an opposing fashion. Volterra ...