Max-planck-gesellschaft Zur F&#xf6;rderung Der Wissenschaften E. V.

Holger Kantz

Lorenzo Matassini

Mario Ragwitz

Rainer Hegger

Described is a method for processing and/or predicting flow data of a flowing medium, in which from values of at least one flow parameter which are successively measured on a continuous basis at one or various locations in the medium, said flow parameter being characteristic for the speed of the medium, a time series is formed and updated which is subjected to a nonlinear deterministic prediction procedure on the basis of a locally constant phase space model for generating prediction values for the respective subsequent flow parameters, wherein a predetermined control signal is generated if the prediction values are characteristic for an impending change in the flow speed. Applications of the method for controlling wind generators are also described.

Method and device for processing and predicting the flow parameters of turbulent media

A method for processing a sound signal y in which redundancy, consisting mainly of almost repetitions of signal profiles, is detected and correlations between the signal profiles are determined within segments of the sound signal. Correlated signal components are allocated to a power component and uncorrelated signal components to a noise component of the sound signal. The correlations between the signal profiles are determined by methods of nonlinear noise reduction in deterministic systems in reconstructed vector spaces based on the time domain.

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Dresden, Germany

Holger Kantz