Automatic Tuning Algorithms and Statistical Circuit Design
Hocevar, Dale Edward
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https://hdl.handle.net/2142/69238
Description
Title
Automatic Tuning Algorithms and Statistical Circuit Design
Author(s)
Hocevar, Dale Edward
Issue Date
1982
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Abstract
In this dissertation two topics are investigated the first of which is automatic tuning algorithms for active filters. Here the problem is that in order to meet response specifications these filters usually must be tuned or adjusted, preferably by computer automation if the production level is high. Three generalized tuning algorithms which have recently appeared in the literature are comparatively reviewed on the basis of their architecture, computational complexity, and effectiveness. Furthermore, a method is presented for the tuning resistor and frequency selection problem, a problem relevant to all three methods. Several statistical simulation examples enhance the presentation. The second topic is statistical circuit design where the emphasis is on Monte Carlo techniques for yield estimation and yield maximization. Several techniques for achieving variance reduction in the yield estimates are discussed. A quadratic approximation model is set up for the circuit and is used to provide an extrapolated yield approximation technique which is extremely effective and efficient in approximating and maximizing the yield along a search direction. Several examples demonstrate the yield maximization process.
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