Digital Signal Processing Systems Implementation Techniques

Author:
Publisher: Elsevier
ISBN: 9780080529844
Format: PDF, Kindle
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This volume on implementation techniques in digital signal processing systems clearly reveals the significance and power of the techniques that are available, and with further development, the essential role they will play as applied to a wide variety of areas. The authors are all to highly commended for their splendid contributors to this volume, which will provide a significant and unique international reference source for students, research workers, practicing engineers, and others for years to come.

Implementation Techniques

Author: Cornelius T. Leondes
Publisher: Academic Press
ISBN: 0080551823
Format: PDF, ePub
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This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers,and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference. Key Features * Recurrent methods * Boltzmann machines * Constructive learning with methods for the reduction of complexity in neural network systems * Modular systems * Associative memory * Neural network design based on the concept of the Inductive Logic Unit * Data classification * Integrated neuron model systems that function as programmable rational approximators With numerous examples to enhance the text, practitioners, researchers, and students in engineering and computer science will find Implementation Techniques a uniquely comprehensive and powerful reference source

Approximation of Large Scale Dynamical Systems

Author: Athanasios C. Antoulas
Publisher: SIAM
ISBN: 0898716586
Format: PDF, ePub, Docs
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Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale integration (VLSI) circuits. The increasing need for accuracy has led to the development of highly complex models. However, in the presence of limited computational accuracy and storage capabilities model reduction (system approximation) is often necessary. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations. It addresses the issue of model reduction and the resulting trade-offs between accuracy and complexity. Special attention is given to numerical aspects, simulation questions, and practical applications.

Introduction to Signal Processing Instrumentation and Control

Author: Joseph Bentsman
Publisher: World Scientific Publishing Company
ISBN: 9814733156
Format: PDF, Mobi
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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.

Control Theory 2nd Edition

Author: J.R. Leigh
Publisher: IET
ISBN: 9780863413391
Format: PDF, ePub, Mobi
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This fully revised and updated edition of "Control Theory" addresses recent developments in the field. It discusses how the rise of H∞ and similar approaches has allowed a combination of practicality, rigor and user interaction to be brought to bear on complex control problems and has helped bridge the gap between control theory and practice. The book also examines the effects of the rise of artificial intelligence techniques and the increasing availability of comprehensive software packages. The book concentrates on the structure, principles and context of control theory, and will be of interests to students and professionals alike.

Non Linear Predictive Control

Author: Basil Kouvaritakis
Publisher: IET
ISBN: 9780852969847
Format: PDF
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Model based predictive control has proved to be a fertile area of research, but above all has gained enormous success with industry, especially in the context of process control. Non-linear model based predictive control is of particular interest as this best represents the dynamics of most real plants, and this book collects together the important results which have emerged in this field which are illustrated by means of simulations on industrial models. In particular there are contributions on feedback linearization, differential flatness, control Lyapunov functions, output feedback, and neural networks. The international contributors to the book are all respected leaders within the field, which makes for essential reading for advanced students, researchers and industrialists in the field of control of complex systems.

Signal Processing for Active Control

Author: Stephen Elliott
Publisher: Elsevier
ISBN: 9780080517131
Format: PDF, Docs
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Signal Processing for Active Control sets out the signal processing and automatic control techniques that are used in the analysis and implementation of active systems for the control of sound and vibration. After reviewing the performance limitations introduced by physical aspects of active control, Stephen Elliott presents the calculation of the optimal performance and the implementation of adaptive real time controllers for a wide variety of active control systems. Active sound and vibration control are technologically important problems with many applications. 'Active control' means controlling disturbance by superimposing a second disturbance on the original source of disturbance. Put simply, initial noise + other specially-generated noise or vibration = silence [or controlled noise]. This book presents a unified approach to techniques that are used in the analysis and implementation of different control systems. It includes practical examples at the end of each chapter to illustrate the use of various approaches. This book is intended for researchers, engineers, and students in the field of acoustics, active control, signal processing, and electrical engineering.