chaos theory discusses unstable and non-periodic behavior of non-linear fluctuating dynamicsystems. since evaporation level variations of lakes have a dynamic identity, chaos theory can have a uniquerole in collecting data of these variations. therefore it is an important and challenging problem in the field ofplanning and qualitative and quantitative management of urmia lake to verify whether ...

We propose predictive information, that is, information between a long past of duration T and the entire infinitely long future of a time series, as a general order parameter to study phase transitions in physical systems independently of the underlying dynamics. It can be used, in particular, to study nonequilibrium transitions and other exotic transitions, where a simpler order parameter cann...

© 2010 American Institute of Physics, S-0031-9228-1009-030-7 Recent developments in seismology, ultrasonics, and underwater acoustics have led to a radical change in the way scientists think about ambient noise—the diffuse waves generated by pressure fluctuations in the atmosphere, the scattering of water waves in the ocean, and any number of other sources that pervade our world. Because diffus...

The aim of this Master Thesis is to extend the classical concepts of the Fourier transform and the cross correlation in order to create an intrinsic multi{dimensional signal analysis which is more exible with regard to distortions. Frequency domain methods and pattern matching are two signal{theoretic approaches which are frequently applied in computer vision. By comparing one{dimensional signa...

Time delay of arrival (TDOA) estimation between signals input to two or more microphones plays an important role in speaker localization. Most methods employ a linear array of two or more microphones and use the generalized cross correlation method or eigenspace analysis (AEDA) methods. TDOA estimation with linear arrays, however, is highly sensitive to estimation errors when the signals arrive...

This paper presents a theoretical and experimental comparison of different forms of SSD and normalised cross-correlation of image neighborhoods. Signal detection theory is used as a framework for analysis of correlation techniques. A sum of squared difference (SSD) of two image neighborhoods is shown to provide an optimal matching measure for tracking and registration in the case fo additive Ga...