Energy minimization for classification, pattern recognition, sensor fusion, data compression, network reconstruction and signal processing
First Claim
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1. A signal analysis method comprising the steps of:
- receiving input data representative of time varying signals;
wherein the time varying signals are selected from the group consisting of digital signals, analog signals and electrical signals;
mapping the input data into two or more matrices;
applying individual differences multidimensional scaling to the two or more matrices to produce a source space output; and
interpreting the source space output as a spatial representation of the time varying signals.
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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.
45 Citations
21 Claims
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1. A signal analysis method comprising the steps of:
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receiving input data representative of time varying signals; wherein the time varying signals are selected from the group consisting of digital signals, analog signals and electrical signals; mapping the input data into two or more matrices; applying individual differences multidimensional scaling to the two or more matrices to produce a source space output; and interpreting the source space output as a spatial representation of the time varying signals. - View Dependent Claims (2, 3)
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4. A signal analysis method comprising the steps of:
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receiving input data representative of time varying signals, wherein the time varying signals are selected from the group consisting of digital signals, analog signals and electrical 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 interpreting the common space output as a spatial representation of the time varying signals. - View Dependent Claims (5, 6)
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7. A signal analysis method comprising the steps of:
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receiving input data representative of time varying signals, wherein the time varying signals are selected from the group consisting of digital signals, analog signals and electrical 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 using the rate of change of stress/energy to analyze the time varying signals. - View Dependent Claims (8)
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9. A signal analysis method comprising the steps of:
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receiving input data representative of time varying signals wherein the time varying signals are selected from the group consisting of digital signals, analog signals and electrical 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 interpreting the source space output as a spatial representation of the time varying signals. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for signal analysis comprising:
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receiving input data representative of time varying signals; wherein the time varying signals are selected from the group consisting of digital signals and analog signals and electrical 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 interpreting the source space output as a spatial representation of the time varying signals. - View Dependent Claims (21)
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Specification