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Approximate Iterative Algorithms
Approximate Iterative Algorithms

Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation. This volume presents methods for the study of approximate iterative algorithms, providing tools for the derivation of error bounds and convergence rates, and for the optimal design of...

Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing...
Subspace Methods for System Identification
Subspace Methods for System Identification
System identification provides methods for the sensible approximation of real systems using a model set based on experimental input and output data. Tohru Katayama sets out an in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results. The text is...
Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009, Proceedings
Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009, Proceedings

In 2009, for the second time in a row, Jena hosted an extraordinary event. In 2008, Jena celebrated the 450th birthday of the Friedrich Schiller University of Jena with the motto “Lichtgedanken” – “flashes of brilliance.” This year, for almost one week, Jena became the center for the pattern recognition research...

Nonlinear Signal Processing : A Statistical Approach
Nonlinear Signal Processing : A Statistical Approach
A Unified Treatment of Non-Gaussian Processes and Nonlinear Signal Processing

Nonlinear signal processing methods are finding numerous applications in such fields as imaging, teletraffic, communications, hydrology, geology, and economics–fields where nonlinear systems and non-Gaussian processes emerge. Within a broad class of nonlinear...

Field and Service Robotics: Results of the 5th International Conference (Springer Tracts in Advanced Robotics)
Field and Service Robotics: Results of the 5th International Conference (Springer Tracts in Advanced Robotics)
Patrick is a focused transport logistics company specialised in the loading and unloading of ships and the efficient land based collection, distribution and storage of cargo for import, export and within Australia.

Patrick began as a one-time small stevedore and now leader in port related transport and logistics. We’ve evolved into
...
Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)
Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)

This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover...

Signal processing in electronic communications (Horwood series in engineering science)
Signal processing in electronic communications (Horwood series in engineering science)
This text deals with signal processing as an important aspect of electronic communications in its role of transmitting information, and the language of its expression. It develops the required mathematics in an interesting and informative way, leading to confidence on the part of the reader. The first part of the book focuses on continuous-time...
Mobile Robot Navigation with Intelligent Infrared Image Interpretation
Mobile Robot Navigation with Intelligent Infrared Image Interpretation

Mobile robots require the ability to make decisions such as "go through the hedges" or "go around the brick wall." Mobile Robot Navigation with Intelligent Infrared Image Interpretation describes in detail an alternative to GPS navigation: a physics-based adaptive Bayesian pattern classification model that uses a...

Modem Theory: An Introduction to Telecommunications
Modem Theory: An Introduction to Telecommunications

At the heart of any modern communication system is the modem, connecting the data source to the communication channel. This first course in the mathematical theory of modem design introduces the theory of digital modulation and coding that underpins the design of digital telecommunications systems. A detailed treatment of core subjects is...

Computational Statistics Handbook with MATLAB
Computational Statistics Handbook with MATLAB

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice...

Aided Navigation: GPS with High Rate Sensors
Aided Navigation: GPS with High Rate Sensors
Design Cutting-Edge Aided Navigation Systems for Advanced Commercial & Military Applications

Aided Navigation is a design-oriented textbook and guide to building aided navigation systems for smart cars, precision farming vehicles, smart weapons, unmanned aircraft, mobile robots, and other advanced applications....

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