Method and device for ascertaining feature vectors from a signal
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Accused Products
Abstract
A signal is used to form intermediate feature vectors which are subjected to high-pass filtering. The high-pass-filtered intermediate feature vectors have a respective prescribed addition feature vector added to them.
23 Citations
45 Claims
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1-17. -17. (canceled)
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18. A method for the computer-aided ascertainment of feature vectors from a signal for pattern recognition, comprising:
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using the signal to form intermediate feature vectors, at least some of whose components have a power spectrum from part of the digitized signal;
subjecting the intermediate feature vectors to high-pass filtering; and
adding a respective prescribed addition feature vector to at least some of the high-pass-filtered intermediate feature vectors, the addition feature vectors used being the respective intermediate feature vectors. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A method for computer-aided pattern recognition, comprising:
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using a digitized signal to form intermediate feature vectors;
subjecting the intermediate feature vectors to high-pass filtering;
adding a respective prescribed addition feature to at least some of the high-pass-filtered intermediate feature vectors, the addition feature vectors used being the respective intermediate feature vectors; and
using the sum formed as feature vectors to perform pattern recognition. - View Dependent Claims (31, 32, 33, 34, 35, 36, 37, 38, 39)
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40. A device for the computer-aided ascertainment of feature vectors from a signal for pattern recognition, comprising:
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a unit for forming intermediate feature vectors from the signal, at least some of the components of the intermediate feature vectors having a power spectrum from part of the digitized signal;
a high-pass filter, which is coupled to the unit for forming intermediate feature vectors, for high-pass filtering the intermediate feature vectors; and
a signal addition unit which is set up to add a respective prescribed addition feature vector at least to some of the high-pass-filtered intermediate feature vectors, the addition feature vectors used being the respective intermediate feature vectors. - View Dependent Claims (41)
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42. A device for computer-aided pattern recognition, comprising:
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a unit configured for forming intermediate feature vectors from a signal, at least some of the components of the intermediate feature vectors having a power spectrum from part of the signal;
a high-pass filter, which is coupled to the unit for forming intermediate feature vectors, for high-pass filtering the intermediate feature vectors;
a signal addition unit which is set up to add a respective prescribed addition feature vector at least to some of the high-pass-filtered intermediate feature vectors, the addition feature vectors used being the respective intermediate feature vectors; and
a pattern recognition unit for pattern recognition using the sum formed as feature vectors.
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43. A computer-readable storage medium having a computer program for ascertaining feature vectors from a signal for pattern recognition which, when executed by a processor, comprises:
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using the signal is used to form intermediate feature vectors, subjecting the intermediate feature vectors to high-pass filtering; and
wherein at least some of the high-pass-filtered intermediate feature vectors have a respective prescribed addition feature vector added to them, the addition feature vectors used being the respective intermediate feature vectors.
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44. A computer-readable storage medium having a computer program for computer-aided pattern recognition which, when executed by a processor, comprises:
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using a signal to form intermediate feature vectors;
subjecting the intermediate feature vectors to high-pass filtering;
wherein at least some of the high-pass-filtered intermediate feature vectors have a respective prescribed addition feature vector added to them, the addition feature vectors used being the respective intermediate feature vectors; and
using the sum formed as feature vectors to perform pattern recognition.
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45. A device for computer-aided pattern recognition, comprising:
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means for forming intermediate feature vectors from a signal, at least some of the components of the intermediate feature vectors having a power spectrum from part of the signal;
a high-pass filter, which is coupled to the means for forming intermediate feature vectors, for high-pass filtering the intermediate feature vectors;
a signal addition unit which is set up to add a respective prescribed addition feature vector at least to some of the high-pass-filtered intermediate feature vectors, the addition feature vectors used being the respective intermediate feature vectors; and
a pattern recognition unit for pattern recognition using the sum formed as feature vectors.
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Specification