Automatic Generation of Differential-Input Differential-Output Second-Order Filters Based on a Differential Pair

2020 ◽  
Vol 39 (6) ◽  
pp. 1258-1271 ◽  
Author(s):  
Brent J. Maundy ◽  
Ahmed S. Elwakil ◽  
Leonid Belostotski
Keyword(s):  
Automatic Generation ◽  
Second Order ◽  
Differential Input ◽  
Differential Pair

scholarly journals Comparative Analysis of CNTFET Models through the Design of a Differential Amplifier

2021 ◽  
Vol 11 (10) ◽  
pp. 22-28
Author(s):  
Gennaro Gelao ◽  
◽  
Roberto Marani ◽  
Anna Gina Perri
Keyword(s):  
Comparative Analysis ◽  
High Frequency ◽  
Input Impedance ◽  
Differential Amplifier ◽  
Output Impedance ◽  
Differential Input ◽  
Differential Pair ◽  
Simulation Results ◽  
Stanford Model ◽  
Mm Waves

In this paper we compare simulation results on a differential pair circuit using a CNTFET model, already proposed by us, with the result obtained using Stanford model. We study the case of differential pair with differential input and single ended output as core of a 50 GHz amplifier for mm waves band. We consider the case of a CNTFET having a single CNT tube with indices (19,0) and 25 nm long. For this circuit we present result for its main parameters: gain, input impedance, output impedance, noise and distortion. Since the Stanford model includes fixed capacitance, for comparison we applied the same capacitance on our model. Since this capacitances dominate the high frequency cut, results are not much different, except for the lack of noise modelling in the Stanford model.

scholarly journals Fully and semi-automated shape differentiation in NGSolve

2020 ◽  
Author(s):  
Peter Gangl ◽  
Kevin Sturm ◽  
Michael Neunteufel ◽  
Joachim Schöberl
Keyword(s):  
Nonlinear Problems ◽  
Automatic Generation ◽  
Second Order ◽  
Shape Optimisation ◽  
Finite Element Software ◽  
Unconstrained Model ◽  
Taylor Test ◽  
Different Types ◽  
Numerical Optimisation ◽  
Shape Differentiation

Abstract In this paper, we present a framework for automated shape differentiation in the finite element software . Our approach combines the mathematical Lagrangian approach for differentiating PDE-constrained shape functions with the automated differentiation capabilities of . The user can decide which degree of automatisation is required, thus allowing for either a more custom-like or black-box–like behaviour of the software. We discuss the automatic generation of first- and second-order shape derivatives for unconstrained model problems as well as for more realistic problems that are constrained by different types of partial differential equations. We consider linear as well as nonlinear problems and also problems which are posed on surfaces. In numerical experiments, we verify the accuracy of the computed derivatives via a Taylor test. Finally, we present first- and second-order shape optimisation algorithms and illustrate them for several numerical optimisation examples ranging from nonlinear elasticity to Maxwell’s equations.

scholarly journals A Low-Voltage Floating-Gate MOS Biquad

VLSI Design ◽  
2001 ◽  
Vol 12 (3) ◽  
pp. 407-414 ◽  
Author(s):  
Esther O. Rodríguez-Villegas ◽  
Alberto Yúfera ◽  
Adoración Rueda
Keyword(s):  
Low Voltage ◽  
Linear Range ◽  
Second Order ◽  
Floating Gate ◽  
Feedback Circuit ◽  
Common Mode ◽  
Voltage Supply ◽  
Differential Input ◽  
Fully Differential ◽  
Voltage Signal

A second-order gm-C filter based on the Floating-Gate MOS (FGMOS) technique is presented. It uses a new fully differential transconductor and works at 2 V of voltage supply with a full differential input linear range and a THD below 1%. Programming and tuning are performed by means of a single voltage signal. The transconductor incorporates a novel Common-Mode Feedback Circuit (CMFB) based also on FGMOS transistors.

Disappearance Voltage Determinations Using a Convergent Beam

1971 ◽  
Vol 29 ◽  
pp. 184-185
Author(s):  
W. L. Bell
Keyword(s):  
Second Order ◽  
Objective Method ◽  
Uniform Thickness ◽  
Rocking Curve ◽  
Crystal Perfection ◽  
Kikuchi Line ◽  
Central Maximum ◽  
Diffraction Patterns ◽  
Convergent Beam ◽  
Beam Technique

Disappearance voltages for second order reflections can be determined experimentally in a variety of ways. The more subjective methods, such as Kikuchi line disappearance and bend contour imaging, involve comparing a series of diffraction patterns or micrographs taken at intervals throughout the disappearance range and selecting that voltage which gives the strongest disappearance effect. The estimated accuracies of these methods are both to within 10 kV, or about 2-4%, of the true disappearance voltage, which is quite sufficient for using these voltages in further calculations. However, it is the necessity of determining this information by comparisons of exposed plates rather than while operating the microscope that detracts from the immediate usefulness of these methods if there is reason to perform experiments at an unknown disappearance voltage.The convergent beam technique for determining the disappearance voltage has been found to be a highly objective method when it is applicable, i.e. when reasonable crystal perfection exists and an area of uniform thickness can be found. The criterion for determining this voltage is that the central maximum disappear from the rocking curve for the second order spot.

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