Chen Wai-kai Chen – författare

Electrical, communication, transportation, computer, and neural networks are special kinds of nets. Designing these networks demands sophisticated mathematical models for their analysis. This book is the first to present a unified, comprehensive, and up-to-date treatment of net theory. It brings together elements of abstract graph theory and circuit analysis to network problems.

This book addresses the theoretical and practical circuit and system concepts that underpin the design of reliable and reproducible, high performance, monolithic feedback circuits. It is intended for practicing electronics engineers and students who wish to acquire an insightful understanding of the ways in which open loop topologies, closed loop architectures, and fundamental circuit theoretic issues combine to determine the limits of performance of analog networks. Since many of the problems that underpin high speed digital circuit design are a subset of the analysis and design dilemmas confronted by wideband analog circuit designers, the book is also germane to high performance digital circuit design.

Active Network Analysis gives a comprehensive treatment of the fundamentals of the theory of active networks and its applications to feedback amplifiers. The guiding light throughout has been to extract the essence of the theory and to discuss those topics that are of fundamental importance and that will transcend the advent of new devices and design tools. The book provides under one cover a unified, comprehensive, and up-to-date coverage of these recent developments and their practical engineering applications. In selecting the level of presentation, considerable attention has been given to the fact that many readers may be encountering some of these topics for the first time. Thus basic introductory material has been included. The work is illustrated by a large number of carefully chosen and well-prepared examples.

Graphs are extremely useful in modeling systems in physical sciences and engineering problems, because of their intuitive diagrammatic nature. This text gives a reasonably deep account of material closely related to engineering applications. Topics like directed-graph solutions of linear equations, topological analysis of linear systems, state equations, rectangle dissection and layouts, and network flows are included. A major theme of the book is electrical network theory.This book is basically intended as a reference text for researchers, and requires a certain level of mathematical maturity. However the text may equally well be used for graduate level courses on network topology and linear systems and circuits. Some of the later chapters are suitable as topics for advanced seminars. A special feature of the book is that references to other published literature are included for almost all the results presented, making the book especially handy for those wishing to continue with a study of special topics.

Circuit design is now carried out by computers using algorithms instead of tables, charts and rules of thumb. The book is an introduction to the computer-aided design of communication networks, based on a firm analytic foundation of circuit theory and numerical techniques. It provides design procedures and techniques of filters, broadband matching networks, compatible impedances, high-frequency amplifiers, diplexers and multiplexers. All programs are written in FORTRAN 77 and run by MS-FORTRAN 5.1 and WATFIV compilers on personal computers. A special feature of the book is that it bridges the gap between theory and practice, and algorithms and implementations. The level of the book is suitable for a senior elective or a circuit design course for the first-year graduate students as well as a reference book for practicing engineers.

This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing.The uniqueness of the book is in the breadth of its coverage over the range of all major artificial neural network approaches and in extensive hands-on case-studies on each and every neural network considered. These detailed case studies include complete program print-outs and results and deal with a range of problems, to illustrate the reader's ability to solve problems ranging from speech recognition, character recognition to control and signal processing problems, all on the basis of following the present text. Another unique aspect of the text is its coverage of important new topics of recurrent (time-cycling) networks and of large memory storage and retrieval problems.The text also attempts to show the reader how he can modify or combine one or more of the neural networks covered, to tailor them to a given problem which does not appear to fit any of the more standard designs, as is very often the case.

The solutions to problems in the two-volume text Linear Networks and Systems: Algorithms and Computer-Aided Implementations are presented in this manual. It contains solutions to every problem in the text except a few proofs of identities and the verification of solutions. The solutions to the problems for the advanced topics in the last two chapters on analytic functions of a matrix are given in detail for the benefit of those who wish to study the material themselves.

Authoritative and visionary, this festschrift features 12 highly readable expositions of virtually all currently active aspects of nonlinear science. It has been painstakingly researched and written by leading scientists and eminent expositors, including L Shilnikov, R Seydel, I Prigogine, W Porod, C Mira, M Lakshmanan, W Lauterborn, A Holden, H Haken, C Grebogi, E Doedel and L Chua; each chapter addresses a current and intensively researched area of nonlinear science and chaos, including nonlinear dynamics, mathematics, numerics and technology. Handsomely produced with high resolution color graphics for enhanced readability, this book has been carefully written at a high level of exposition and is somewhat self-contained.Each chapter includes a tutorial and background information, as well as a survey of each area''s main results and state of the art. Of special interest to both beginners and seasoned researchers is the identification of future trends and challenging yet tractable problems that are likely to be solved before the end of the 21st century. The visionary and provocative nature of this book makes it a valuable and lasting reference.

The solutions to problems in the text Active Network Analysis are presented in this manual. It contains solutions to most of the problems except a few proofs of the identities and the verification of solutions. All the solutions are worked out in detail, and will be very helpful to those who wish to understand the material in the book, and to verify their answers.

The solutions to problems in the text Broadband Matching: Theory and Implementations are presented in this book. It contains detailed solutions to most problems in the text except some proofs of identities and theorems and the verification of solutions. Many of the design problems are given in numerical details for the benefit of those who wish to perform the design themselves.

The third edition presents a unified, up-to-date and detailed account of broadband matching theory and its applications to the design of broadband matching networks and amplifiers. A special feature is the addition of results that are of direct practical value. They are design curves, tables and explicit formulas for designing networks having Butterworth, Chebyshev or elliptic, Bessel or maximally flat group-delay response. These results are extremely useful as the design procedures can be reduced to simple arithmetic. Two case studies towards the end of the book are intended to demonstrate the applications to the practical design of modern filter circuits.