Prediction of Wide-Band Power Performance of MESFET Distributed Amplifiers Using the Volterra Series Representation

In structural engineering applications a sufficient quantity of experimental data to be able to achieve a consistent estimate of nonlinear quantities is seldom available: this applies in particular when the structures are to be tested in situ. This report discusses the definition of instantaneous estimators to be used in the dynamic identification of invariant nonlinear systems on the basis of Short-Time Fourier Transform representation of excitation and system’s response and within the framework of a Volterra series representation of the input/output relationship. An estimation of the parameters of a dynamic system can be worked out from the evolution of such instantaneous estimators.

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Analysis of a Microwave Feedforward Amplifier Using Volterra Series Representation

IRE Transactions on Communications Systems ◽

10.1109/tcom.1977.1093820 ◽

1977 ◽

Vol 25 (3) ◽

pp. 355-360 ◽

Cited By ~ 11

Author(s):

A. Javed ◽

P. Goud ◽

B. Syrett

Keyword(s):

Volterra Series ◽

Series Representation

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W-Band Power Performance of SiN-Passivated N-Polar GaN Deep Recess HEMTs

IEEE Electron Device Letters ◽

10.1109/led.2020.2967034 ◽

2020 ◽

Vol 41 (3) ◽

pp. 349-352 ◽

Cited By ~ 13

Author(s):

Brian Romanczyk ◽

Xun Zheng ◽

Matthew Guidry ◽

Haoran Li ◽

Nirupam Hatui ◽

...

Keyword(s):

Power Performance ◽

Band Power ◽

W Band

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On Random Field Discretization in Stochastic Finite Elements

Journal of Applied Mechanics ◽

10.1115/1.2789057 ◽

1998 ◽

Vol 65 (2) ◽

pp. 320-327 ◽

Cited By ~ 16

Author(s):

B. A. Zeldin ◽

P. D. Spanos

Keyword(s):

Random Field ◽

Volterra Series ◽

Interpolation Method ◽

Series Representation ◽

Stochastic Mechanics ◽

Discretization Methods ◽

Nonlinear Input ◽

Midpoint Method ◽

Stochastic Finite Elements ◽

Theoretical Developments

Several traditional methods for discretizing random fields in stochastic mechanics applications are considered; they are the midpoint method, the interpolation method, and the local averaging method. A simple and computationally convenient criterion for estimating the accuracy of these discretization methods is developed. Also, the Volterra series representation of nonlinear input/output relationships is utilized to assess the effect of the random field discretization methods on the response variability of stochastic mechanics problems. The theoretical developments are elucidated by a numerical example involving a beam problem.

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Volterra series representation of nonlinear systems

Transactions of the American Institute of Electrical Engineers Part II Applications and Industry ◽

10.1109/tai.1963.6371765 ◽

1963 ◽

Vol 81 (6) ◽

pp. 330-335 ◽

Cited By ~ 19

Author(s):

R. H. Flake

Keyword(s):

Nonlinear Systems ◽

Volterra Series ◽

Series Representation

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High performance wide-band and medium-band power amplifier MMICs

15th Annual GaAs IC Symposium ◽

10.1109/gaas.1993.394434 ◽

2002 ◽

Cited By ~ 4

Author(s):

T. Apel ◽

R. Bhatla ◽

B. Lauterwasser

Keyword(s):

Power Amplifier ◽

High Performance ◽

Wide Band ◽

Band Power ◽

Medium Band

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Identification of Nonlinear Systems: Volterra Series Simplification

Acta Polytechnica ◽

10.14311/976 ◽

2007 ◽

Vol 47 (4-5) ◽

Author(s):

A. Novák

Keyword(s):

Nonlinear System ◽

Nonlinear Systems ◽

Transfer Function ◽

Linear System ◽

Impulse Response ◽

Volterra Series ◽

Series Representation ◽

Multimedia Systems ◽

Audio Amplifier ◽

Enormous Number

Traditional measurement of multimedia systems, e.g. linear impulse response and transfer function, are sufficient but not faultless. For these methods the pure linear system is considered and nonlinearities, which are usually included in real systems, are disregarded. One of the ways to describe and analyze a nonlinear system is by using Volterra Series representation. However, this representation uses an enormous number of coefficients. In this work a simplification of this method is proposed and an experiment with an audio amplifier is shown.

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