Blind separation to improve classification of traffic noise

Applied Acoustics

Volumn 72, Issue 8, 2011, Pages 590-598

  Mato Méndez, Fernando J ^a   Sobreira Seoane, Manuel A ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

Blind Source Separation; Classification; Pattern recognition; Principal Components Analysis; Traffic noise

Indexed keywords

APPLICATION CONTEXTS; AUTOMATIC CLASSIFICATION SYSTEMS; AVERAGE SPEED; BLIND SEPARATION; CALCULATION METHODS; CLASS SEPARATION; CLASSIFICATION; ENVIRONMENTAL NOISE; ENVIRONMENTAL NOISE LEVELS; EUROPEAN DIRECTIVE; MEASUREMENT RESULTS; MEASUREMENT TIME INTERVALS; NOISE EMISSIONS; NOISE LEVELS; NOISE MAP; NOISE MAPPING; NUMBER OF VEHICLES; PCA-BASED CLASSIFIERS; PORTABLE SYSTEM; PRINCIPAL COMPONENTS ANALYSIS; ROAD TRAFFIC NOISE; TRAFFIC CHARACTERISTICS; TRAFFIC CONDITIONS; TRAFFIC DENSITIES; TRAFFIC NOISE; TWO CHANNEL;

AUDIO ACOUSTICS; BLIND SOURCE SEPARATION; FORECASTING; NOISE POLLUTION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; ROADS AND STREETS; STEREOPHONIC RECORDINGS;

ACOUSTIC NOISE;

EID: 79954630191     PISSN: 0003682X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apacoust.2011.02.006     Document Type: Article

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