Mathematical Methods In Time Series Analysis And Digital Image Processing

Download Mathematical Methods In Time Series Analysis And Digital Image Processing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Mathematical Methods In Time Series Analysis And Digital Image Processing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Mathematical Methods in Time Series Analysis and Digital Image Processing

Author: Rainer Dahlhaus
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-12-20
This coherent and articulate volume summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing. The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.
Biosignal Processing

With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex datasets accrue as an inevitable part of biomedical enterprise. The availability of these massive amounts of data offers unprecedented opportunities to advance our understanding of underlying biological and physiol
Geometric Properties for Incomplete Data

Author: Reinhard Klette
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-03-14
Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. It is a common problem that these measurements are incomplete or noisy, such that considerable efforts are necessary to regularise the data, to fill in missing information, and to judge the accuracy and reliability of these results. This monograph brings together contributions from researchers in computer vision, engineering and mathematics who are working in this area. The book can be read both by specialists and graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context.