Abstract: A device for designing a sensor arrangement for an automated system, the device comprising a first input unit for receiving a specification of a plurality of sensor measurements to be carried out by the sensor arrangement, a second input unit for receiving a specification of a confidence region together with an associated confidence level for each of the specified sensor measurements, a third input unit for receiving a specification of a target confidence level for the automated system, and a configuration unit for configuring the plurality of sensor measurements and for configuring the combination of the sensor measurements in a manner to guarantee the target confidence level for the automated system.

Abstract: A method for characterizing an optical link by its beat length, coupling length and polarization mode dispersion is disclosed. A pulsed signal is sent along said optical fiber link and the backscattered signal (being a POTDR signal) is measured after passing through a polarizer. The length of said optical fiber, the average power difference between two successive minima of said backscattered signal and the number of maxima per unit length are derived. In an iterative way a beat length interval and an interval for the polarization mode coupling parameter are determined until the length of said intervals is below a predetermined value, yielding a value for the beat length and the coupling length, and the polarization mode dispersion is calculated.

Abstract: The present invention is related to a method for estimating from an input signal the resonance frequencies of a system modelled as a source and a filter, comprising the steps of—determining the Z-transform of the input signal,—calculating the differential-phase spectrum of the Z-transformed input signal, whereby the Z-transform is evaluated on a circle centered around the origin of the Z-plane,—detecting the peaks on said differential-phase spectrum,—attributing the peaks to either the source or the filter,—estimating the resonance frequencies from the peaks.

Abstract: A method of automatic processing of noise-affected speech captures and digitizes speech in the form of at least one digitised signal and extracts several time-based sequences or frames corresponding to the signal, by means of an extraction system. Each frame is decomposed by means of an analysis system into at least two different frequency bands so as to obtain at least two first vectors of representative parameters for each frame, one for each frequency band. The method converts, by means of converter systems, the first vectors of representative parameters into second vectors of parameters substantially insensitive to noise, wherein each converter system (50) is associated with one frequency band and converts the first vector of representative parameters associated with the same frequency band, and wherein a learning of the converter systems is achieved on the basis of a learning corpus which corresponds to a corpus of speech contaminated by noise.