Wave and Scattering Methods for Numerical Simulation Группа авторов

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Группа авторов - «Wave and Scattering Methods for Numerical Simulation»

О книге

Scattering-based numerical methods are increasingly applied to the numerical simulation of distributed time-dependent physical systems. These methods, which possess excellent stability and stability verification properties, have appeared in various guises as the transmission line matrix (TLM) method, multidimensional wave digital (MDWD) filtering and digital waveguide (DWN) methods. This text provides a unified framework for all of these techniques and addresses the question of how they are related to more standard numerical simulation techniques. Covering circuit/scattering models in electromagnetics, transmission line modelling, elastic dynamics, as well as time-varying and nonlinear systems, this book highlights the general applicability of this technique across a variety of disciplines, as well as the inter-relationships between simulation techniques and digital filter design. provides a comprehensive overview of scattering-based numerical integration methods. reviews the basics of classical electrical network theory, wave digital filters, and digital waveguide networks. discusses applications for time-varying and nonlinear systems. includes an extensive bibliography containing over 250 references. Mixing theory and application with numerical simulation results, this book will be suitable for both experts and readers with a limited background in signal processing and numerical techniques. Это и многое другое вы найдете в книге Wave and Scattering Methods for Numerical Simulation (Группа авторов)

Полное название книги Группа авторов Wave and Scattering Methods for Numerical Simulation
Автор Группа авторов
Ключевые слова
Категории Образование и наука
ISBN 9780470870181
Издательство John Wiley & Sons Limited
Год 2020
Название транслитом wave-and-scattering-methods-for-numerical-simulation-gruppa-avtorov
Название с ошибочной раскладкой wave and scattering methods for numerical simulation uheggf fdnjhjd