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Microelectronic Circuit Design

Microelectronic Circuit Design for Energy Harvesting Systems [Repost]  eBooks & eLearning

Posted by hill0 at Feb. 12, 2018
Microelectronic Circuit Design for Energy Harvesting Systems [Repost]

Microelectronic Circuit Design for Energy Harvesting Systems by Maurizio Di Paolo Emilio
English | 21 Dec. 2016 | ISBN: 331947586X | 192 Pages | PDF | 2.34 MB

Microelectronic Circuit Design (5th edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at April 19, 2017
Microelectronic Circuit Design (5th edition) [Repost]

Richard Jaeger, Travis Blalock - Microelectronic Circuit Design (5th edition)
Published: 2015-02-23 | ISBN: 0073529605, 1259252450 | PDF | 1360 pages | 13.49 MB

Microelectronic Circuit Design (4th Edition)  eBooks & eLearning

Posted by arundhati at Feb. 20, 2019
Microelectronic Circuit Design (4th Edition)

Richard Jaeger, "Microelectronic Circuit Design (4th Edition)"
2010 | ISBN: 0073380458 | 1365 pages | PDF | 30 MB

Microelectronic Circuit Design for Energy Harvesting Systems  eBooks & eLearning

Posted by arundhati at Jan. 29, 2017
Microelectronic Circuit Design for Energy Harvesting Systems

Maurizio Di Paolo Emilio, "Microelectronic Circuit Design for Energy Harvesting Systems"
2017 | ISBN-10: 331947586X | 169 pages | PDF | 5 MB

Microelectronic Circuit Design for Energy Harvesting Systems  eBooks & eLearning

Posted by nebulae at Jan. 14, 2017
Microelectronic Circuit Design for Energy Harvesting Systems

Maurizio Di Paolo Emilio, "Microelectronic Circuit Design for Energy Harvesting Systems"
English | ISBN: 331947586X | 2017 | 192 pages | PDF | 5 MB

Microelectronic Circuit Design for Energy Harvesting Systems  eBooks & eLearning

Posted by hill0 at Dec. 28, 2016
Microelectronic Circuit Design for Energy Harvesting Systems

Microelectronic Circuit Design for Energy Harvesting Systems by Maurizio Di Paolo Emilio
English | 21 Dec. 2016 | ISBN: 331947586X | 192 Pages | PDF | 4.54 MB

This book describes the design of microelectronic circuits for energy harvesting, broadband energy conversion, new methods and technologies for energy conversion. The author also discusses the design of power management circuits and the implementation of voltage regulators. Coverage includes advanced methods in low and high power electronics, as well as principles of micro-scale design based on piezoelectric, electromagnetic and thermoelectric technologies with control and conditioning circuit design.

Space Microelectronics, Volume 2 : Integrated Circuit Design for Space Applications  eBooks & eLearning

Posted by readerXXI at March 4, 2019
Space Microelectronics, Volume 2 : Integrated Circuit Design for Space Applications

Space Microelectronics, Volume 2 :
Integrated Circuit Design for Space Applications

by Anatoly Belous, Vitali Saladukha
English | 2017 | ISBN: 1630812595 | 629 Pages | PDF | 27 MB

Introduction to Nanoelectronic Single-Electron Circuit Design, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at Oct. 30, 2016
Introduction to Nanoelectronic Single-Electron Circuit Design, Second Edition

Introduction to Nanoelectronic Single-Electron Circuit Design, Second Edition
Pan Stanford | Circuit Components | Oct. 6 2016 | ISBN-10: 9814745561 | 348 pages | pdf | 9.67 mb

by Jaap Hoekstra (Author)

Introduction to Nanoelectronic Single-Electron Circuit Design (Repost)  eBooks & eLearning

Posted by step778 at Dec. 11, 2019
Introduction to Nanoelectronic Single-Electron Circuit Design (Repost)

Jaap Hoekstra, "Introduction to Nanoelectronic Single-Electron Circuit Design"
2016 | pages: 326 | ISBN: 9814745561 | PDF | 9,7 mb

Using Artificial Neural Networks for Analog Integrated Circuit Design Automation  eBooks & eLearning

Posted by AvaxGenius at March 30, 2020
Using Artificial Neural Networks for Analog Integrated Circuit Design Automation

Using Artificial Neural Networks for Analog Integrated Circuit Design Automation by João P. S. Rosa
English | EPUB | 2020 | 117 Pages | ISBN : 3030357422 | 4.03 MB

This book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explores an innovative approach to automatic circuit sizing where ANNs learn patterns from previously optimized design solutions. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from devices’ sizes to circuits’ performances provided by design equations or circuit simulations, ANNs are shown to be capable of solving analog IC sizing as a direct map from specifications to the devices’ sizes.