Signals, Instrumentation, Control, And Machine Learning: An Integrative Introduction, Joseph Bentsman
Автор: Anand, R. Название: Digital signal processing ISBN: 1683928024 ISBN-13(EAN): 9781683928027 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8959.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed to cover the fundamental concepts of digital signal processing, this book introduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and more.
Автор: Ortega, Antonio, Название: Introduction to graph signal processing / ISBN: 1108428134 ISBN-13(EAN): 9781108428132 Издательство: Cambridge Academ Рейтинг: Цена: 15418.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An intuitive, accessible text explaining the fundamentals and applications of signal processing on graphs. It covers basic and advanced topics, includes numerous exercises and Matlab examples, and is accompanied online by a solutions manual for instructors, making it essential reading for graduate students, researchers, and industry professionals.
Автор: Osvaldo Simeone Название: An Introduction to Quantum Machine Learning for Engineers ISBN: 1638280584 ISBN-13(EAN): 9781638280583 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph is motivated by a number of recent developments that appear to define a possible new role for researchers with an engineering profile. Software that make programming quantum algorithms more accessible. A new framework is emerging for programming quantum algorithms to be run on current quantum hardware.
Описание: This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.
Автор: Sutton, Richard S. Barto, Andrew G. Название: Reinforcement learning ISBN: 0262193981 ISBN-13(EAN): 9780262193986 Издательство: MIT Press Рейтинг: Цена: 10040.00 р. Наличие на складе: Нет в наличии.
Описание: An account of key ideas and algorithms in reinforcement learning. The discussion ranges from the history of the field`s intellectual foundations to recent developments and applications. Areas studied include reinforcement learning problems in terms of Markov decision problems and solution methods.
Описание: Signal Processing is one of themost importantspecializations in engineering, and computer sciences. It derives input from physics, mathematics and is an indispensable feature of all natural- and life sciences in research and in application. The new s
Описание: This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs.All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts.The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.
This book stems from a unique and highly effective approach in introducing signal processing, instrumentation, diagnostics, filtering, control, and system integration.
It presents the interactive industrial grade software testbed of mold oscillator that captures the mold motion distortion induced by coupling of the electro-hydraulic actuator nonlinearity with the resonance of the mold oscillator beam assembly. The testbed is then employed as a virtual lab to generate input-output data records that permit unraveling and refining complex behavior of the actual production system through merging dynamics, signal processing, instrumentation, and control into a coherent problem-solving package.
The material is presented in a visually rich, mathematically and graphically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the book fully brings out the excitement of going through the adventure of exploring and solving a mold oscillator distortion problem, while covering the key signal processing, diagnostics, instrumentation, modeling, control, and system integration concepts.
The approach presented in this book has been supported by two education advancement awards from the College of Engineering of the University of Illinois at Urbana-Champaign.
This book stems from a unique and highly effective approach in introducing signal processing, instrumentation, diagnostics, filtering, control, and system integration.
It presents the interactive industrial grade software testbed of mold oscillator that captures the mold motion distortion induced by coupling of the electro-hydraulic actuator nonlinearity with the resonance of the mold oscillator beam assembly. The testbed is then employed as a virtual lab to generate input-output data records that permit unraveling and refining complex behavior of the actual production system through merging dynamics, signal processing, instrumentation, and control into a coherent problem-solving package.
The material is presented in a visually rich, mathematically and graphically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the book fully brings out the excitement of going through the adventure of exploring and solving a mold oscillator distortion problem, while covering the key signal processing, diagnostics, instrumentation, modeling, control, and system integration concepts.
The approach presented in this book has been supported by two education advancement awards from the College of Engineering of the University of Illinois at Urbana-Champaign.
Описание: This book is devoted to the investigation of the main issues related to the sustainable realization of tele-laboratories, where real and virtual instrumentation can be shared and used in a collaborative environment.
Автор: Franco Davoli; Norbert Meyer; Roberto Pugliese; Sa Название: Grid Enabled Remote Instrumentation ISBN: 1441935061 ISBN-13(EAN): 9781441935069 Издательство: Springer Рейтинг: Цена: 32651.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Grid architectures, which are viewed as tools for the integration of distributed resources, play a significant role as managers of computational resources. This book focuses on a number of aspects related to the effective exploitation of remote instrumentation on the grid.
Описание: THE SERIES: ADVANCES IN SYSTEMS, SIGNALS AND DEVICES Systems, Signals & Devices is one of the large specializations in electrical engineering, mechanical engineering and computer sciences. It derives input from physics, mathematics and is an indispensable feature of all natural- and life sciences in research and in application. The new series “Advances in Systems, Signals and Devices” presents original publications mainly from speakers on the International Multi-Conference on Systems, Signal and Devices but also from other international authors. The Conference is a forum for researchers and specialists in different fi elds covering all types of sensors and measurement systems.
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