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304results about "Computing operation arrangements" patented technology

Digitally controlled three-phase pfc rectifier

A robust decoder generates an output state from input signals related to the line-voltage signals of a three-phase power system, using a segment identification method based on zero-crossings derived from line-voltage difference signals. The robust decoder includes a basic decoder that provides a current output state based on the input signals, a state table that provides a presumed previous state based on the current output state of the basic decoder, a binary feed back loop including a state element for storing a previous output state, and a selector for providing the output state based on the stored previous output state and the presumed previous state. The robust decoder may be implemented as hardware or software in a digital power converter. Such a digital power converter may include boost inductors each receiving an input line voltage signal from the three-phase power system to provide phase voltage signals, switches receiving the phase voltage signals to provide an intermediate voltage signal, the plurality of switches each being control by a driving signal, an output circuit coupled to the intermediate voltage signal to provide a rectified output voltage signal for digital power converter, and a digital control circuit receiving the input line voltages and the output voltage signal, the digital control circuit generating the driving signals to control the switches. The switches may be configured according to a state machine.
Owner:DELTA ELECTRONICS INC

Similarity index: a rapid classification method for multivariate data arrays

InactiveUS20090306932A1Rapid classification and analysisDigital computer detailsRaman scatteringData setSpectroscopy
Similarity Index: a rapid classification method for multivariate data arrays The present invention is directed to a method of determining the similarity between a first multivariate data set and a second multivariate data set. The method is versatile and can be applied to a number of different multivariate data sets, for example, a spectroscopy multivariate data set. In particular, the method may be applied to rapidly assess the similarity between fluorescence spectroscopy multivariate data sets. The method comprises the steps of representing the data of a first and a second multivariate data set in matrix form to yield a multivariate data matrix, wherein each multivariate data matrix has the same dimensions. Subsequently, the magnitude of an additive and subtractive combination of each multivariate data matrix is calculated. The concept of a penalty parameter is introduced to set a detectable limit of variance between said first multivariate data set and said second multivariate data set. The penalty parameter is ascribed a value and is used in combination with the magnitude of an additive and subtractive combination of each multivariate data matrix to determine a similarity value. The determined similarity value indicates the variance between said first multivariate data set and said second multivariate data set.
Owner:THE NAT UNIV OF IRELAND GALWAY
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