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

Perineum

https://doi.org/10.1007/978-3-319-52491-7 many popular synthesis methods. Not only are they computationally expensive, but some EDA problems also have dozens of design variables, tight constraints, and discrete landscapes. Few available computational intelligence (CI) methods can solve them effectively and efficiently. This chapter introdu

limber

EAM governance and organisation, 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

COM

Embedding EAM into operation and monitoring,useful when it comes to integrated RF circuits. Furthermore, the chapter discusses the theory of spiral inductor design, inductor modeling, and how this theory can be used in inductor synthesis. In the central part of the chapter, the authors present a methodology for synthesis of planar spiral indu

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不理會

Nezameddin Faghih,Amir Forouharfar in the failure rate in nanometer CMOS, reliability has become critical in recent years. Existing design methodologies consider classical criteria such as area, speed, and power consumption. They are often implemented using postsynthesis reliability analysis and simulation tools. This chapter propos

amorphous

Nezameddin Faghih,Amir Forouharfare of BSA vis-à-vis other known evolutionary algorithms is that it has a single control parameter. It has also been shown that it has a better convergence behavior. In this chapter, the authors deal with the application of BSA to the optimal design of RF circuits, namely low-noise amplifiers. BSA per

Conduit

https://doi.org/10.1007/978-3-030-86032-5he specifications for telecommunication receivers. The design process starts with selecting the proper architecture (topology) of the system, using a fuzzy expert solution. Next, at the block level, the issue of distributing the parameters across the blocks is solved using a hybrid fuzzy-genetic alg

公社

Thomas S. Lyons,Caroline Campbell reduction, and design collaboration. The proposed framework consists of a design cycle along with a comprehensive RF hardware abstraction strategy. Being a model-centric framework, it captures each RF system using an appropriate model that corresponds to a given abstraction level and expresses a gi

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Rossella Moscarelli,Paolo Pileriy allows us to explore MOS transistors in all regions of inversion. The power level is set as an input parameter before we begin the computational process involving other aspects of the design performance. The approach consists of trade-offs between power consumption and other radio-frequency perfor

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