Energy minimization for classification, pattern recognition, sensor fusion, data compression, network reconstruction and signal processing
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Abstract
A data analyzer/classifier comprises using a preprocessing step, and energy minimization step, and a postprocessing step to analyze/classify data.
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Citations
59 Claims
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1-43. -43. (canceled)
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44. A signal processing method comprising the steps of:
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receiving input data representative of time varying signals;
mapping the input data into two or more matrices;
applying individual differences multidimensional scaling to the one or more matrices to produce a source space output; and
processing the input data using the source space output. - View Dependent Claims (45)
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46. A signal processing method comprising the steps of:
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receiving input data representative of time varying signals;
mapping the input data into one or more matrices;
applying individual differences multidimensional scaling to the one or more matrices to produce a common space output; and
processing the input data using the common space output.
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48. A signal processing method comprising the steps of:
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receiving input data representative of time varying signals;
mapping the input data into one or more matrices;
applying individual differences multidimensional scaling to the one or more matrices to produce a rate of change of stress/energy; and
processing the input data using the rate of change of stress/energy.
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49. A signal processing method comprising the steps of:
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receiving input data representative of time varying signals;
mapping the input data into two or more symmetric matrices;
applying individual differences multidimensional scaling to the two or more symmetric matrices to produce a source space output; and
processing the input data using the source space output. - View Dependent Claims (50, 51, 52, 53, 54, 55, 56, 57, 58)
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59. A method for signal processing comprising:
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receiving input data representative of time varying signals;
using entry-wise substitution to form two or more hollow symmetric matrices from the received data;
applying individual differences multidimensional scaling to the two or more hollow symmetric matrices to produce at least a source space output; and
processing the received input data using the source space output.
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Specification