Intermodulation Distortion Analysis of Reflection-Type IMPATT Amplifiers Using Volterra Series Representation

1977 ◽  
Vol 25 (9) ◽  
pp. 729-734 ◽  
Author(s):  
A. Javed ◽  
B.A. Syrett ◽  
P.A. Goud
Optik ◽  
2013 ◽  
Vol 124 (7) ◽  
pp. 631-634 ◽  
Author(s):  
Suryani Alifah ◽  
Sevia M. Idrus ◽  
Norazan M. Kassim ◽  
Neo Yun Sheng ◽  
Mohd F. Rahmat ◽  
...  

1988 ◽  
Vol 13 (2) ◽  
pp. 113-132 ◽  
Author(s):  
Umesh Kumar ◽  
Sushil Kumar Shukla

Second order active filters using single and two operational amplifiers at high frequencies and/or large-signal levels are investigated for their nonlinear performance. A general procedure using the Volterra series in presented regarding intermodulation distortion. Computer results by implementation in a program “Distortion Analysis” demonstrate the accuracy of the analysis technique.


2005 ◽  
Vol 293-294 ◽  
pp. 703-710 ◽  
Author(s):  
Giacomo V. Demarie ◽  
Rosario Ceravolo ◽  
Alessandro de Stefano

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.


1998 ◽  
Vol 65 (2) ◽  
pp. 320-327 ◽  
Author(s):  
B. A. Zeldin ◽  
P. D. Spanos

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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