Characterization Of Monolithic Spiral Inductor Using Neural Networks

Below is result for Characterization Of Monolithic Spiral Inductor Using Neural Networks in PDF format. You can download or read online all document for free, but please respect copyrighted ebooks. This site does not host PDF files, all document are the property of their respective owners.

2002 ANNUAL POWER ELECTRONICS SEMINAR AT VIRGINIA TECH

D3.8 Gray-Box Modeling of Electric Drive Systems using Neural Networks, Roberto 379 Rivera, Miguel Velez-Reyes and Yamilka Baez - University of Puerto Rico, Mayaguez D3.9 Developing Novel Three-phase SPWM Control Algorithms for Digital-to-Synchro 385 Converter Application, Changrong Liu, Huijie Yu, Jih-Sheng Lai and Jimmy Black* - XI

Integrated Inductors And Transformers Characterization Design

techniques. Using examples and applications in RF and microwave systems, the author describes transmission lines, transformers, and distributed circuits. State-of-the-art developments in Si based broadband analog, RF, microwave, and mm-wave circuits are reviewed. With up-to-date results, techniques, practical examples, illustrations and worked

Emre Salman - Stony Brook

Noise Estimation Using an Equivalent Transition Time for Resonance, IEEE Transactions on Circuits and Systems-I: Regular Papers, Vol. 56, No. 5, pp. 997-1004, May 2009 Best Paper Nomination, IEEE Int. Symp. on Quality Electronic Design, March 2006