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Volumn , Issue , 2006, Pages 144-149
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Pattern recognition approach for the automatic classification of data from impact acoustics
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Author keywords
Gaussian mixture models; Impact acoustics; Intelligent transportation systems; Learning vector quantization; NDT; Pattern recognition
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Indexed keywords
ACOUSTICS;
ARTIFICIAL INTELLIGENCE;
AUTOMATIC INDEXING;
BLIND SOURCE SEPARATION;
COMMUNICATION CHANNELS (INFORMATION THEORY);
CONDITION MONITORING;
FEATURE EXTRACTION;
GAUSSIAN BEAMS;
INSPECTION;
INTELLIGENT VEHICLE HIGHWAY SYSTEMS;
MIXTURES;
OBJECT RECOGNITION;
PATTERN RECOGNITION;
PATTERN RECOGNITION SYSTEMS;
PROGRAMMING THEORY;
SOFT COMPUTING;
THEOREM PROVING;
TRELLIS CODES;
VECTORS;
VEHICLE LOCATING SYSTEMS;
VISUAL COMMUNICATION;
WOODEN BEAMS AND GIRDERS;
GAUSSIAN MIXTURE MODELS;
IMPACT ACOUSTICS;
INTELLIGENT TRANSPORTATION SYSTEMS;
LEARNING VECTOR QUANTIZATION;
NDT;
VECTOR QUANTIZATION;
ACOUSTICS;
ARTIFICIAL INTELLIGENCE;
COMMUNICATION;
PATTERN RECOGNITION;
TRANSPORT;
WOOD;
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EID: 45949106002
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (4)
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References (17)
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