Analog Circuit Behavioral Modeling Using Statistical Learning Method PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Analog Circuit Behavioral Modeling Using Statistical Learning Method PDF full book. Access full book title Analog Circuit Behavioral Modeling Using Statistical Learning Method by Hui Li. Download full books in PDF and EPUB format.
Author: Hui Li
Publisher:
ISBN: 9781109629538
Category :
Languages : en
Pages : 220
Get Book Here
Book Description
In terms of accuracy of the model, we computed average error, worst case error, and special design corner case error, by compared against SPICE simulation result. We found because of the nature of SVM, it trades off corner case accuracy for learning the general behavior trend. Therefore, for improving worst case and corner case accuracy, we applied Gaussian process for machine learning approach, and results show great accuracy improvement with reasonable evaluation speed tradeoffs.
Author: Hui Li
Publisher:
ISBN: 9781109629538
Category :
Languages : en
Pages : 220
Get Book Here
Book Description
In terms of accuracy of the model, we computed average error, worst case error, and special design corner case error, by compared against SPICE simulation result. We found because of the nature of SVM, it trades off corner case accuracy for learning the general behavior trend. Therefore, for improving worst case and corner case accuracy, we applied Gaussian process for machine learning approach, and results show great accuracy improvement with reasonable evaluation speed tradeoffs.
Author: Jan Swidzinski
Publisher:
ISBN:
Category :
Languages : en
Pages : 342
Get Book Here
Book Description
Author: Paul A. Duran
Publisher: Springer Science & Business Media
ISBN: 1441986308
Category : Technology & Engineering
Languages : en
Pages : 239
Get Book Here
Book Description
A Practical Guide to Analog Behavioral Modeling for IC System Design presents a methodology for abstracting an IC system so that the designer can gain a macroscopic view of how sub-systems interact, as well as verify system functionality in various applications before committing to a design. This will prevent problems that may be caused late in the design-cycle by incompatibilities between the individual blocks that comprise the overall system. This book will focus on the techniques of modelling IC systems through analog behavioral modeling and simulation. It will investigate a practical approach by which designers can put together these systems to analyze topological and architectural issues to optimize IC system performance. Highlights: Discussions on modeling and simulation from SPICE to behavioral simulators Comparison of various hardware description languages and a discussion on the effects of language standardization Explanation on how to reduce time-to-market by decreasing design-cycle time through modeling and simulation Contains more than 25 building block examples that can be used to construct mixed-signal IC system models Analysis of 4 different IC systems using various levels of model detail This book is intended for the practicing engineer who would like to gain practical knowledge in applications of analog behavioral modelling for IC system design.
Author: Daniel Platte
Publisher: Cuvillier Verlag
ISBN: 3867276838
Category :
Languages : en
Pages : 173
Get Book Here
Book Description
Author: Michiel Steyaert
Publisher: Springer Science & Business Media
ISBN: 1402038852
Category : Technology & Engineering
Languages : en
Pages : 409
Get Book Here
Book Description
Analog Circuit Design contains the contribution of 18 tutorials of the 14th workshop on Advances in Analog Circuit Design. Each part discusses a specific todate topic on new and valuable design ideas in the area of analog circuit design. Each part is presented by six experts in that field and state of the art information is shared and overviewed. This book is number 14 in this successful series of Analog Circuit Design, providing valuable information and excellent overviews of analog circuit design, CAD and RF systems. Analog Circuit Design is an essential reference source for analog circuit designers and researchers wishing to keep abreast with the latest development in the field. The tutorial coverage also makes it suitable for use in an advanced design course.
Author: Manuel Barros
Publisher: Springer Science & Business Media
ISBN: 3642123457
Category : Technology & Engineering
Languages : en
Pages : 247
Get Book Here
Book Description
The microelectronics market, with special emphasis to the production of complex mixed-signal systems-on-chip (SoC), is driven by three main dynamics, time-- market, productivity and managing complexity. Pushed by the progress in na- meter technology, the design teams are facing a curve of complexity that grows exponentially, thereby slowing down the productivity design rate. Analog design automation tools are not developing at the same pace of technology, once custom design, characterized by decisions taken at each step of the analog design flow, - lies most of the time on designer knowledge and expertise. Actually, the use of - sign management platforms, like the Cadences Virtuoso platform, with a set of - tegrated CAD tools and database facilities to deal with the design transformations from the system level to the physical implementation, can significantly speed-up the design process and enhance the productivity of analog/mixed-signal integrated circuit (IC) design teams. These design management platforms are a valuable help in analog IC design but they are still far behind the development stage of design automation tools already available for digital design. Therefore, the development of new CAD tools and design methodologies for analog and mixed-signal ICs is ess- tial to increase the designer’s productivity and reduce design productivitygap. The work presented in this book describes a new design automation approach to the problem of sizing analog ICs.
Author: Luciano Lavagno
Publisher: CRC Press
ISBN: 1351837583
Category : Technology & Engineering
Languages : en
Pages : 704
Get Book Here
Book Description
Presenting a comprehensive overview of the design automation algorithms, tools, and methodologies used to design integrated circuits, the Electronic Design Automation for Integrated Circuits Handbook is available in two volumes. The second volume, EDA for IC Implementation, Circuit Design, and Process Technology, thoroughly examines real-time logic to GDSII (a file format used to transfer data of semiconductor physical layout), analog/mixed signal design, physical verification, and technology CAD (TCAD). Chapters contributed by leading experts authoritatively discuss design for manufacturability at the nanoscale, power supply network design and analysis, design modeling, and much more. Save on the complete set.
Author: James A. Power
Publisher:
ISBN:
Category : Integrated circuits
Languages : en
Pages : 152
Get Book Here
Book Description
Author: Chi-Chun Lee
Publisher: CRC Press
ISBN: 1000794180
Category : Science
Languages : en
Pages : 130
Get Book Here
Book Description
The main purpose of the work is to showcase the interdisciplinary engineering approaches in modeling and understanding human behaviors during interpersonal interactions those that could be typical, distressed, or atypical. The ability to measure human behaviors quantitatively has been a core component and a major research direction in both fields of engineering and psychology – though often with distinct approaches designed for different targeted applications. Engineering methods often strive to achieve high predictive accuracies using behavioral informatics techniques; these techniques employ a combination of behavior measures derived using automated signal based descriptors, and of statistical frameworks modeled using machine learning techniques. These approaches are often distinct from the observational approaches the gold standard for the past three decades in the study of psychology, even in clinical settings. The observational approaches are largely based on human subjective judgments.
Author: Henda Aridhi
Publisher:
ISBN:
Category :
Languages : en
Pages : 139
Get Book Here
Book Description
Model order reduction has been introduced as a method for reducing the simulation time of large-scale systems in the area of systems and control theory. It substantially reduces the size and complexity of their dynamical models while retaining their main input-output behavior. The application of this method to reduce the expensive simulation and verification time of analog circuits was not straightforward and is still facing many accuracy, robustness and automation challenges, especially for nonlinear analog circuits. A collection of model order reduction methods suitable for linear circuits exists and is used by industry. Unfortunately, these methods cannot be applied directly to nonlinear analog circuits because of the major differences in their dynamical behaviors and high sensitivity to parameter and signal variations. While a linear relationship between the inputs and outputs always exists in linear circuits, small variations in nonlinear circuits inputs or parameters from their nominal values can lead to large output variations. In order to enhance the robustness and accuracy of this class of methods, in this thesis, we propose a framework for the behavioral verification of nonlinear analog circuits based on fuzzy theory, model order reduction, and fast statistical simulation methods. For this purpose, we first provide a modeling environment based on modified nodal analysis and curve-fitting, where analog circuit differential models are automatically generated using SPICE netlists and simulation traces. The uncertainties about the initial conditions, the parameters and the inputs are incorporated in their differential models as fuzzy numbers. Then, the obtained fuzzy differential models are solved using a qualitative simulation method that characterizes their behavior and provides a means to describe their behavioral properties. We compute envelopes enclosing the complete circuit trajectories in response to the introduced fuzziness in the state space. The obtained fuzzy state space evolution is employed to preset the parameters of the model order reduction method. Then, we use different techniques such as state space clustering, linearization, and Krylov space projections within an iterative process that ends with the satisfaction of a set of conformance criteria which guarantee the efficiency of the reduced model in terms of accuracy and speed-up. Moreover, we describe the application of this method, in a hierarchical way, to optimize the model order reduction effort for circuits with repeating structures. Furthermore, we employ the proposed model order reduction method to speed-up statistical simulation by reducing the size of all the models which are usually simulated in a Monte Carlo context. In this method, we generate a reduced model and simulate it once to approximate the result of a large number of simulations and approximate their statistical behavior. The application of the thesis work on various large analog circuits proves the effectiveness of our proposed approaches.
