2020 Chinese Automation Congress (CAC) 2020
DOI: 10.1109/cac51589.2020.9327047
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Extraction and Analysis of Fine Spectrum Features of Underwater Objects

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“…Because the human auditory system has great advantages in listening to sound and objects, the human auditory model is constructed by using Gammatone filter to extract auditory time-frequency features and auditory spectrum features, discuss the separability of active sonar buried target echo and seabed reverberation under these features, and select features with good separation to construct feature space, The radial basis function kernel support vector machine is used for classification and recognition. We draw the following test conclusions: the characteristics of the two kinds of signals have good clustering and can obtain high recognition accuracy, which shows that this method can effectively distinguish target echo and reverberation 6,10 .…”
Section: Extraction Of Auditory Time-frequency Features and Auditory ...mentioning
confidence: 86%
“…Because the human auditory system has great advantages in listening to sound and objects, the human auditory model is constructed by using Gammatone filter to extract auditory time-frequency features and auditory spectrum features, discuss the separability of active sonar buried target echo and seabed reverberation under these features, and select features with good separation to construct feature space, The radial basis function kernel support vector machine is used for classification and recognition. We draw the following test conclusions: the characteristics of the two kinds of signals have good clustering and can obtain high recognition accuracy, which shows that this method can effectively distinguish target echo and reverberation 6,10 .…”
Section: Extraction Of Auditory Time-frequency Features and Auditory ...mentioning
confidence: 86%