Vlsi Analog Circuits Algorithms Architecture Modeling And Circuit Implementation

Download or read book VLSI Analog Circuits: Algorithms, Architecture, Modeling, and Circuit Implementation written by Hongjiang Song and published by McGraw Hill Professional. This book was released on 2016-09-16 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: VLSI Signal Processing Principles, Practices, and Applications This comprehensive resource shows how very-large-scale integration (VLSI) technology can be effectively deployed in real-world electronics to meet cost, power, function, and reliability requirements. VLSI Analog Circuits: Algorithm, Architecture, Modeling, and Circuit Implementation, Second Edition, is a textbook for advanced electrical engineering courses that shows, step-by-step, how to analyze and solve practical design problems using VLSI. You will get up-to-date discussions on VLSI passive, active-RC, MOS-C, Gm-C, CTI, SC, and SI analog filter circuits. Mixed-mode configurations, VLSI RF signal processing, and circuit tuning techniques are explained in full detail. Coverage includes: • VLSI continuous-time signal processing fundamentals • VLSI active-RC, MOS-C, and VLSI Gm-C circuits • VLSI continuous-time current-mode filters • VLSI discrete-time signal processing systems • VLSI switched-capacitor and switched-current circuits • Frequency-scaling and transformation techniques • Mixed-mode VLSI analog signal processing • Component and ladder simulation-based VLSI design • Practical design aspects of VLSI analog filters • VLSI RF signal processing circuits • Digital-based analog signal processing circuits

Download or read book VLSI Analog Circuits: Algorithms, Architecture, Modeling, and Circuit Implementation, Second Edition written by Hongjiang Song and published by McGraw-Hill Education. This book was released on 2016-09-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. VLSI Signal Processing Principles, Practices, and Applications This comprehensive resource shows how very-large-scale integration (VLSI) technology can be effectively deployed in real-world electronics to meet cost, power, function, and reliability requirements. VLSI Analog Circuits: Algorithm, Architecture, Modeling, and Circuit Implementation, Second Edition, is a textbook for advanced electrical engineering courses that shows, step-by-step, how to analyze and solve practical design problems using VLSI. You will get up-to-date discussions on VLSI passive, active-RC, MOS-C, Gm-C, CTI, SC, and SI analog filter circuits. Mixed-mode configurations, VLSI RF signal processing, and circuit tuning techniques are explained in full detail. Coverage includes: • VLSI continuous-time signal processing fundamentals • VLSI active-RC, MOS-C, and VLSI Gm-C circuits • VLSI continuous-time current-mode filters • VLSI discrete-time signal processing systems • VLSI switched-capacitor and switched-current circuits • Frequency-scaling and transformation techniques • Mixed-mode VLSI analog signal processing • Component and ladder simulation-based VLSI design • Practical design aspects of VLSI analog filters • VLSI RF signal processing circuits • Digital-based analog signal processing circuits

Download or read book VLSI Analog Signal Processing Circuits written by Hongjiang Song and published by Xlibris Corporation. This book was released on 2009-04-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text covers various topics related to the analysis, design, and implementation techniques of VLSI analog filter and signal processing circuits, including the VLSI passive, the active-RC, the MOS-C, the Gm-C, the CTI, the SC, and SI analog filter and signal processing circuit techniques.

Download or read book Structural VLSI Analog Circuit Design - Principles, Problem Sets and Solution Hints written by Hongjiang Song and published by Lulu.com. This book was released on 2015 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference was developed for a graduate level course (EEE598: Structural VLSI Analog Circuit Design Based on Symmetry) offered in the School of Electrical, Computer and Energy Engineering at Arizona State University. The materials are organized in 24 topics including the collection of design problems in structural VLSI analog circuit design

Download or read book Analog VLSI Implementation of Neural Systems written by Carver Mead and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1989, in connection with the International Symposium on Circuits and Systems. The presentations were chosen to encompass the entire range of topics currently under study in this exciting new discipline. Stringent acceptance requirements were placed on contributions: (1) each description was required to include detailed characterization of a working chip, and (2) each design was not to have been published previously. In several cases, the status of the project was not known until a few weeks before the meeting date. As a result, some of the most recent innovative work in the field was presented. Because this discipline is evolving rapidly, each project is very much a work in progress. Authors were asked to devote considerable attention to the shortcomings of their designs, as well as to the notable successes they achieved. In this way, other workers can now avoid stumbling into the same traps, and evolution can proceed more rapidly (and less painfully). The chapters in this volume are presented in the same order as the corresponding presentations at the workshop. The first two chapters are concerned with fmding solutions to complex optimization problems under a predefmed set of constraints. The first chapter reports what is, to the best of our knowledge, the first neural-chip design. In each case, the physics of the underlying electronic medium is used to represent a cost function in a natural way, using only nearest-neighbor connectivity.

Download or read book Digital Integrated Circuit Design written by Hubert Kaeslin and published by Cambridge University Press. This book was released on 2008-04-28 with total page 878 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical, tool-independent guide to designing digital circuits takes a unique, top-down approach, reflecting the nature of the design process in industry. Starting with architecture design, the book comprehensively explains the why and how of digital circuit design, using the physics designers need to know, and no more.

Download or read book Algorithms and Architectures written by Cornelius T. Leondes and published by Elsevier. This book was released on 1998-02-09 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering. - Radial Basis Function networks - The Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks - Weight initialization - Fast and efficient variants of Hamming and Hopfield neural networks - Discrete time synchronous multilevel neural systems with reduced VLSI demands - Probabilistic design techniques - Time-based techniques - Techniques for reducing physical realization requirements - Applications to finite constraint problems - Practical realization methods for Hebbian type associative memory systems - Parallel self-organizing hierarchical neural network systems - Dynamics of networks of biological neurons for utilization in computational neuroscience