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Nonlinear Transistor Model Parameter Extraction Techniques

Achieve accurate and reliable parameter extraction using this complete survey of state-of-the-art techniques and methods. A team of experts;

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Nonlinear Circuit Simulation and Modeling

modeling techniques. Model formulations discussed in detail include time-domain transistor compact models and frequency-domain linear and nonlinear;

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Transistor Level Modeling for Analog/RF IC Design

The editors and authors present a wealth of knowledge regarding the most relevant aspects in the field of MOS transistor modeling;

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Surface Complexation Modeling

. Includes detailed coverage of the model and the parameter extraction procedure.;

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Nonlinear Industrial Control Systems

, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised;

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ModelBased Processing

for designing model-based signal processors (MBSP) employing subspace identification techniques to achieve model-based identification (MBID;

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Organic Thin-Film Transistor Applications

Text provides information about advanced OTFT (Organic thin film transistor) structures, their modeling and extraction of performance;

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Organic Thin-Film Transistor Applications

Text provides information about advanced OTFT (Organic thin film transistor) structures, their modeling and extraction of performance;

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FinFET Modeling IC Simulation & Design

of FinFET Details of the FinFET standard model (BSIM-CMG) Parameter extraction in BSIM-CMG FinFET circuit design and;

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Modelling and Parameter Estimation of Dynamic Systems

dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the;

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Analytical Techniques for Natural Product Research

to optimize the concentration of known constituents and also to maintain their activities. Extraction techniques and analytical techniques;

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Control Oriented Modelling & Identificat

-based model reduction techniques; integrated modelling and parameter estimation; identification for robust control of complex systems; subspace;

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Advanced Computational Materials Modeling

With its discussion of strategies for modeling complex materials using new numerical techniques, mainly those based on the finite element;

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Spatially Explicit Hyperparameter Optimization for Neural Networks

few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often;

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Support Vector Machines for Antenna Array Processing and Electromagnetics

array processing and electromagnetics. In particular, it introduces methods for linear and nonlinear beamforming and parameter design for arrays;

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Support Vector Machines for Antenna Array Processing And Electromagnetics

array processing and electromagnetics. In particular, it introduces methods for linear and nonlinear beamforming and parameter design for arrays;

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Modelling and Simulation of Integrated Systems in Engineering

training. Many engineering design techniques depend on suitable models, assessment of the adequacy of a given model for an intended application;

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Nonlinear Interval Optimization for Uncertain Problems

theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization;

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Model-Based Tracking Control of Nonlinear Systems

Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive;

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Model-Based Tracking Control of Nonlinear Systems

Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive;

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Memristive Nonlinear Electronic Circuits

be implemented easily because it corresponds to the bipolar transistor differential pair. The authors design a new model-based memristive;

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Modeling and Characterization of RF and Microwave Power FETs

and microwave power amplifier design and modeling community. In it, you will find descriptions of characterization and measurement techniques;

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Modeling and Characterization of RF and Microwave Power FETs

and microwave power amplifier design and modeling community. In it, you will find descriptions of characterization and measurement techniques;

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Face Localization, Color Images and Postural Degradation

patches. The present study continues towards the identification of the most suitable unique class of model and the parameter reductions for;

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Linear, Time-varying Approximations to Nonlinear Dynamical Systems

Linear, Time-varying Approximations to Nonlinear Dynamical Systems introduces a new technique for analysing and controlling nonlinear;

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Analog Circuit Simulators for Integrated Circuit Designers

modeling techniques, based on simplified transistor physics Provides detailed mathematics and ample references in appendices;

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Analog Circuit Simulators for Integrated Circuit Designers

modeling techniques, based on simplified transistor physics Provides detailed mathematics and ample references in appendices;

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