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

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书目名称Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design
编辑Mourad Fakhfakh,Esteban Tlelo-Cuautle,Patrick Siar
视频videohttp://file.papertrans.cn/233/232466/232466.mp4
概述Shows how to automate the design flow of electronic circuits using new computationally intelligent approaches.Highlights new biasing and sizing approaches and optimization techniques and their applica
图书封面Titlebook: Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design;  Mourad Fakhfakh,Esteban Tlelo-Cuautle
描述.This book explains the application of recent advances in computational intelligence – algorithms, design methodologies, and synthesis techniques – to the design of integrated circuits and systems. It highlights new biasing and sizing approaches and optimization techniques and their application to the design of high-performance digital, VLSI, radio-frequency, and mixed-signal circuits and systems..This first of two related volumes addresses the design of analog and mixed-signal (AMS) and radio-frequency (RF) circuits, with 17 chapters grouped into parts on analog and mixed-signal applications, and radio-frequency design. It will be of interest to practitioners and researchers in computer science and electronics engineering engaged with the design of electronic circuits..
出版日期Book 2015
关键词Analog Mixed-Signal (AMS) Systems; Computational Intelligence (CI); Electronic Design; Evolutionary Alg
版次1
doihttps://doi.org/10.1007/978-3-319-19872-9
isbn_softcover978-3-319-37310-2
isbn_ebook978-3-319-19872-9
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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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
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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
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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
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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
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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
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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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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
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