<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Christoph S. Garbe</style></author><author><style face="normal" font="default" size="100%">Kai Krajsek</style></author><author><style face="normal" font="default" size="100%">Pavel Pavlov</style></author><author><style face="normal" font="default" size="100%">Björn Andres</style></author><author><style face="normal" font="default" size="100%">Matthias Mühlich</style></author><author><style face="normal" font="default" size="100%">Ingo Stuke</style></author><author><style face="normal" font="default" size="100%">Cicero Mota</style></author><author><style face="normal" font="default" size="100%">Martin Böhme</style></author><author><style face="normal" font="default" size="100%">Martin Haker</style></author><author><style face="normal" font="default" size="100%">Tobias Schucher</style></author><author><style face="normal" font="default" size="100%">Hanno Scharr</style></author><author><style face="normal" font="default" size="100%">Til Aach</style></author><author><style face="normal" font="default" size="100%">Erhardt Barth</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">R. Dahlhaus</style></author><author><style face="normal" font="default" size="100%">J. Kurths</style></author><author><style face="normal" font="default" size="100%">Timmer, J.</style></author><author><style face="normal" font="default" size="100%">Peter Maass</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns</style></title><secondary-title><style face="normal" font="default" size="100%">Mathematical Methods in Time Series Analysis and Digital Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pages><style face="normal" font="default" size="100%">231-288</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We consider the general task of accurately detecting and quantifying orientations in n-dimensional signals s. The main emphasis will be placed on the estimation of motion, which can be thought of as orientation in spatiotemporal signals. Associated problems such as the optimization of matched kernels for deriving isotropic and highly accurate gradients from the signals, optimal integration of local models, and local model selection will also be addressed.</style></abstract><custom3><style face="normal" font="default" size="100%">Understanding Complex Systems</style></custom3></record></records></xml>