Mathematical methods in time series analysis and digital 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. 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 setsof test problems from medicine and geophysical/enviromental sciences, is alsoaddressed. This volume coherently summarizes work carried out in the field oftheoretical 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. INDICE: Multivariate time series analysis. Multiscale approximation. Localadaptive estimation of complex motion and orientation patterns. Inverse problems and parameter identification. Structural adaptive smoothing procedures. Analysis of bivariate coupling by means of recurrence. Surrogate methods.

• ISBN: 978-3-540-75631-6
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 290
• Fecha Publicación: 01/01/2008
• Nº Volúmenes: 1
• Idioma: Inglés