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Download Computational Intelligence in Analog and Mixed-Signal (AMS) by Mourad Fakhfakh, Esteban Tlelo-Cuautle, Patrick Siarry PDF

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By Mourad Fakhfakh, Esteban Tlelo-Cuautle, Patrick Siarry

This publication explains the appliance of modern advances in computational intelligence – algorithms, layout methodologies, and synthesis innovations – to the layout of built-in circuits and structures. It highlights new biasing and sizing techniques and optimization options and their software to the layout of high-performance electronic, VLSI, radio-frequency, and mixed-signal circuits and systems.

This first of 2 comparable volumes addresses the layout of analog and mixed-signal (AMS) and radio-frequency (RF) circuits, with 17 chapters grouped into components on analog and mixed-signal purposes, and radio-frequency layout. it will likely be of curiosity to practitioners and researchers in desktop technological know-how and electronics engineering engaged with the layout of digital circuits.

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Extra info for Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design

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D. Thesis, University of Cincinnati (2000) 7. : A library-based approach to synthesis of analog systems from VHDL-AMS specifications. ACM Trans. Des. Autom. 9(2), 238–271 (2004) 8. : Computer aided design of analog and mixed-signal integrated circuits. Proc. IEEE 88, 1825–1852 (2000) 9. : Refinement based synthesis of continuous-time analog filters through successive domain pruning, plateau search and adaptive sampling. IEEE Trans. CADICS 25(8), 1421–1440 (2006) 10. : Improving design feature reuse in analog circuit design through topological-symbolic comparison and entropy-based classification.

5], the optimization method is dependent on the design optimization model, which can be classified in equation based, simulation based, or learning based. The equation-based method uses simplified equations originated from large- and small-signal analysis of the circuit topology. It allows for a fast estimation of circuit performance, but lacks in accuracy. The application of this method has been demonstrated in the literature, mainly with the use of geometric programming [15, 23]. The circuit performance is modeled by posynomial equations, which guarantee the finding of an optimal solution in a fast computational time.

We also think that there is the opportunity of using the associative component of the knowledge structure to create in real-time comprehensive summaries of the state of the art on a certain design problem, such as by mining design information from electronic documents in databases, such as IEEE Xplore. Finally, this approach could create an initial path toward computationally mimicking some facets of human innovation and creativity, a well-known challenge in computing. Acknowledgement This material is based upon work supported by the National Science Foundation under Major Collaborative Creative IT Grant No.

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