Signal interpretation engine
First Claim
1. A method of labeling signal data by event type comprising:
- measuring and recording an event and its type;
measuring and recording signal data;
establishing a correspondence between an event and a signal data segment;
labeling signal data segments by event type.
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Abstract
A signal interpretation engine apparatus and method are disclosed as including a computer programmed to run a feature expansion module, a weight table module, a consolidation module, and a map generation module. The feature expansion module contains feature operators for operating on a signal to expand the signal to form a feature map of feature segments. Each feature segment corresponds to a unique representation of the signal created by a feature operator from the signal across an epoch. An epoch corresponds to an event within a time segment. A consolidation module applies aggregators to consolidate the inner products or superposition segments into a distribution function representing an attribute over a domain reflecting a selected weight table, aggregator, and event type, corresponding to each value of the attribute.
85 Citations
4 Claims
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1. A method of labeling signal data by event type comprising:
measuring and recording an event and its type;
measuring and recording signal data;
establishing a correspondence between an event and a signal data segment;
labeling signal data segments by event type. - View Dependent Claims (2, 3)
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4. A method of creating useful applications of the signal interpretation engine, the method comprising:
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measuring and recording events and event types;
measuring and recording signal data;
establishing a correspondence between an event and a signal data epoch;
labeling signal data epochs by event type;
using labeled signal data epochs in a learning system to generate an interpretation map;
using signal data and the interpretation map in a classification system to produce interpretations;
using the interpretations to provide a useful result.
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Specification