Learn IT - Books tags estimation

Human Motion - Understanding, Modeling, Capture and Animation: Second Workshop, HumanMotion 2007, Rio de Janeiro, Brazil, October 20, 2007

Springer, 2007

This book constitutes the refereed proceedings of the Second Workshop on Human Motion, HumanMotion 2007, held in Rio de Janeiro, Brazil October 2007 in conjunction with ICCV 2007. The 22 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on motion capture and...

Video Compression Systems: From first principles to concatenated codecs (Iet Telecommuncations)

Institution of Engineering and Technology, 2009

-Traces history of video compression systems from low bit rate compression to today's high quality HDTV compression

-Accessible to a wide audience - complicated processes are explained using figures and diagrams with descriptions of the algorithms.

This book gives an overview on many practical aspects of video compression systems used...

Numerical Methods for Nonlinear Estimating Equations (Oxford Statistical Science, Vol. 29)

Oxford University Press, 2003

This book has grown from the authors' investigations into the problem of finding consistent and efficient solutions to estimating equations which admit multiple solutions. While there have been studies of multiple roots in likelihood estimation, most notably by Barnett (1966), we felt that there was a need to incorporate more...

Principles of Embedded Networked Systems Design

Cambridge University Press, 2005

"...this volume represents a real mine of information...anyone working in the field would benefit from owning a copy." IEEE Communications Engineer

Embedded network systems (ENS) provide a set of technologies that can link the physical world to large-scale networks in applications, such as monitoring of borders,...

Run-time Models for Self-managing Systems and Applications (Autonomic Systems)

Springer, 2010

This edited volume focuses on the adoption of run-time models for the design and management of autonomic systems. Traditionally, performance models have a central role in the design of computer systems. Models are used at design-time to support the capacity planning of the physical infrastructure and to analyze the effects and trade-offs of...

Model-based Health Monitoring of Hybrid Systems

Springer, 2013

This book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosis\prognosis and hybrid bond graph modeling. This book also describes...

Water-Quality Engineering in Natural Systems

John Wiley & Sons, 2006

FOCUSING ON CONTAMINANT FATE AND TRANSPORT, DESIGN OF ENVIRONMENTAL-CONTROL SYSTEMS, AND REGULATORY CONSTRAINTS

This textbook details the fundamental equations that describe the fate and transport of contaminantsin the water environment. The application of these fundamental equations to the design of environmental-control...

Adaptive Digital Filters (Signal Processing and Communications)

CRC Press, 2001

This text emphasizes the intricate relationship between adaptive filtering and signal analysis - highlighting stochastic processes, signal representations and properties, analytical tools, and implementation methods. This second edition includes new chapters on adaptive techniques in communications and rotation-based algorithms. It provides...

Bayesian Biostatistics and Diagnostic Medicine

CRC Press, 2007

Bayesian methods are being used more often than ever before in biology and medicine. For example, at the University of Texas MD Anderson Cancer Center, Bayesian sequential stopping rules routinely are used for the design of clinical trials. This book is based on the author’s experience working with a variety of...

Statistical Methods, Second Edition

Academic Press, 2003

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection....

Nonlinear Kalman Filtering for Force-Controlled Robot Tasks (Springer Tracts in Advanced Robotics)

Springer, 2009

This monograph focuses on how to achieve more robot autonomy by means of reliable processing skills. "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy. Kalman...

Applied Intelligent Control of Induction Motor Drives

John Wiley & Sons, 2011

Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor...

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