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Mathematical Methods in Sig...
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. In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/enviromental sciences, is also addressed. This volume coherently 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
Monografía
monografia Rebiun16860820 https://catalogo.rebiun.org/rebiun/record/Rebiun16860820 cr nn 008mamaa 100301s2008 gw | s |||| 0|eng d 9783540756323 978-3-540-75632-3 10.1007/978-3-540-75632-3 doi UPVA 996886024003706 UAM 991007632820204211 UPM 991005575951004212 UCAR 991007918652404213 UYQV bicssc COM016000 bisacsh 006.6 23 Mathematical Methods in Signal Processing and Digital Image Analysis Recurso electrónico-En línea] edited by Rainer Dahlhaus, Jürgen Kurths, Peter Maass, Jens Timmer Berlin, Heidelberg Springer Berlin Heidelberg 2008 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg XIV, 294 p. 109 illus., 13 illus. in color. online resource XIV, 294 p. 109 illus., 13 illus. in color. Understanding Complex Systems 1860-0832 Physics and Astronomy (Springer-11651) Multivariate Time Series Analysis -- Surrogate Data \2014 A Qualitative and Quantitative Analysis -- Multiscale Approximation -- Inverse Problems and Parameter Identification in Image Processing -- Analysis of Bivariate Coupling by Means of Recurrence -- Structural Adaptive Smoothing Procedures -- Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns Accesible sólo para usuarios de la UPV Recurso a texto completo 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. In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/enviromental sciences, is also addressed. This volume coherently 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 Reproducción electrónica Forma de acceso: Web Computer science Computer graphics Information theory Statistical physics Dynamical systems Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Information and Communication, Circuits Statistical Physics, Dynamical Systems and Complexity Signal, Image and Speech Processing Dahlhaus, Rainer. editor Kurths, Jürgen. editor Maass, Peter. editor Timmer, Jens. editor SpringerLink (Online service) Springer eBooks Springer eBooks Printed edition 9783540756316 Understanding Complex Systems 1860-0832