Invention Grant
- Patent Title: Signal classification using sparse representation
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Application No.: US16135300Application Date: 2018-09-19
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Publication No.: US10346722B2Publication Date: 2019-07-09
- Inventor: Cecilia J. Aas , Raymond S. Glover
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Holland & Knight LLP
- Agent Brian J. Colandreo, Esq.; Jeffrey T. Placker, Esq.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/46

Abstract:
A system, method and computer program product is provided. An input signal for classification and a set of pre-classified signals are received, each comprising a vector representation of an object having a plurality of vector elements. A sparse vector comprising a plurality of sparse vector coefficients is determined. Each sparse vector coefficient corresponds to a signal in the set of pre-classified signals and represents the likelihood of a match between the object represented in the input signal and the object represented in the corresponding signal. A largest sparse vector coefficient is compared with a predetermined threshold. If the largest sparse vector coefficient is less than the predetermined threshold, the corresponding signal is removed from the set of pre-classified signals. The determining and comparing are repeated using the input signal and the reduced set of pre-classified signals.
Public/Granted literature
- US20190019065A1 SIGNAL CLASSIFICATION USING SPARSE REPRESENTATION Public/Granted day:2019-01-17
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