Titlebook: Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design; Mourad Fakhfakh,Esteban Tlelo-Cuautle

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書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design影響因子(影響力)




書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design影響因子(影響力)學(xué)科排名




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書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design被引頻次




書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design被引頻次學(xué)科排名




書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design年度引用




書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design年度引用學(xué)科排名




書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design讀者反饋




書(shū)目名稱Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design讀者反饋學(xué)科排名

恭維

Anticoagulant

Application of Computational Intelligence Techniques to Maximize Unpredictability in Multiscroll Chaoptimization (PSO)—to maximize the positive Lyapunov exponent in a multiscroll chaotic oscillator based on a saturated nonlinear function series based on the modification of the standard settings of the coefficient values of the mathematical description, and taking into account the correct distribut

Nomogram

Optimization and Co-simulation of an Implantable Telemetry System by Linking System Models to Nonlintform is based on a bottom-up design and top-down simulation methodologies. In the bottom-up design methodology, an optimizer is inserted to perform a knowledge-aware optimization loop. During the process, a PEANO trajectory is applied for global exploration and the Nelder–Mead simplex optimization

Afflict

Framework for Formally Verifying Analog and Mixed-Signal Designsputation to model and verify AMS designs through the application of induction-based model checking. They also propose the use of higher order logic theorem proving to formally verify continuous models of analog circuits. To test and validate the proposed approaches, they developed prototype implemen

BRAVE

Automatic Layout Optimizations for Integrated MOSFET Power Stagestages consisting of multiple power MOSFETs. The tool combines a multitude of constraints associated with DRC, DFM, ESD rules, current density limits, heat distribution, and placement. It uses several optimization steps based on evolutionary computation techniques that precede a bottom-up layout cons

BRAVE

Optimizing Model Precision in High Temperatures for Efficient Analog and Mixed-Signal Circuit Designl of an op-amp is developed using VHDL-AMS in order to remedy the inaccuracy of the SPICE model. The precision of the model simulation in HT was improved thanks to the VHDL-AMS model. Almost all known op-amp parameters were inserted into the model, which was developed manually. Future work can autom

命令變成大炮

Nonlinearities Behavioral Modeling and Analysis of Pipelined ADC Building BlocksPython programming language. The development of an ADC simulator requires the behavior modeling of the basic building blocks and their possible interconnections to form the final converter. This chapter presents a pipeline ADC simulator tool that allows topology selection and digital calibration of

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Limpid

Computational Intelligence Techniques for Determining Optimal Performance Trade‐Offs for RF Inductor have to face. In this chapter, computational intelligence techniques are applied to automatically obtain the optimal performance trade-offs of integrated inductors. A methodology is presented that combines a multi-objective evolutionary algorithm with electromagnetic simulation to get highly accura