Realisation of a Target Classifier For Noise Sources in the Ocean

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Realisation of a Target Classifier For Noise Sources in the Ocean

Show simple item record Supriya, M H Dr.Pillai, P R S 2011-11-05T05:39:08Z 2011-11-05T05:39:08Z 2007-10
dc.description Departement of Electronics,Cochin University of Science and Technology en_US
dc.description.abstract This thesis addresses one of the emerging topics in Sonar Signal Processing.,viz.the implementation of a target classifier for the noise sources in the ocean, as the operator assisted classification turns out to be tedious,laborious and time consuming.In the work reported in this thesis,various judiciously chosen components of the feature vector are used for realizing the newly proposed Hierarchical Target Trimming Model.The performance of the proposed classifier has been compared with the Euclidean distance and Fuzzy K-Nearest Neighbour Model classifiers and is found to have better success rates.The procedures for generating the Target Feature Record or the Feature vector from the spectral,cepstral and bispectral features have also been suggested.The Feature vector ,so generated from the noise data waveform is compared with the feature vectors available in the knowledge base and the most matching pattern is identified,for the purpose of target classification.In an attempt to improve the success rate of the Feature Vector based classifier,the proposed system has been augmented with the HMM based Classifier.Institutions where both the classifier decisions disagree,a contention resolving mechanism built around the DUET algorithm has been suggested. en_US
dc.language.iso en en_US
dc.publisher Cochin University of Science & Technology en_US
dc.subject Sonar systems en_US
dc.subject Noise sources en_US
dc.subject Classifiers en_US
dc.subject Underwater noises en_US
dc.subject Ocean noise en_US
dc.subject Target classifier en_US
dc.title Realisation of a Target Classifier For Noise Sources in the Ocean en_US
dc.type Thesis en_US
dc.contributor.faculty Technology en_US

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