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ICASSP
2011
IEEE

Transient acoustic signal classification using joint sparse representation

11 years 9 months ago
Transient acoustic signal classification using joint sparse representation
In this paper, we present a novel joint sparse representation based method for acoustic signal classification with multiple measurements. The proposed method exploits the correlations among the multiple measurements with the notion of joint sparsity for improving the classification accuracy. Extensive experiments are carried out on real acoustic data sets and the results are compared with the conventional discriminative classifiers in order to verify the effectiveness of the proposed method.
Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huan
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang
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