DocumentCode
1600641
Title
Poster abstract: Distributed sparse approximation for frog sound classification
Author
Bo Wei ; Mingrui Yang ; Rana, Rajib Kumar ; Chun Tung Chou ; Wen Hu
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear
2012
Firstpage
105
Lastpage
106
Abstract
Sparse approximation has now become a buzzword for classification in numerous research domains. We propose a distributed sparse approximation method based on ℓ1 minimization for frog sound classification, which is tailored to the resource constrained wireless sensor networks. Our pilot study demonstrates that ℓ1 minimization can run on wireless sensor nodes producing satisfactory classification accuracy.
Keywords
bioacoustics; biology computing; minimisation; signal classification; wireless sensor networks; ℓ1 minimization; distributed sparse approximation method; frog sound classification; satisfactory classification accuracy; wireless sensor networks; wireless sensor nodes; Accuracy; Approximation methods; Minimization; Signal to noise ratio; Training; Wireless communication; Wireless sensor networks; ℓ1minimization; sparse approximation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks (IPSN), 2012 ACM/IEEE 11th International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/IPSN.2012.6920976
Filename
6920976
Link To Document