An incremental technique for real-time bioacoustic signal segmentation

作者：

Highlights：

• An incremental transformation of ZCR and energy without using temporal windows.

• With our method is possible to save memory and transmission costs.

• Solution to process large amounts of data by resource-constrained devices as WSN.

摘要

•An incremental transformation of ZCR and energy without using temporal windows.•With our method is possible to save memory and transmission costs.•Solution to process large amounts of data by resource-constrained devices as WSN.

论文关键词：Bioacoustic signal segmentation,Wireless Sensor Networks,Unsupervised learning,Stream data mining

论文评审过程：Available online 28 May 2015, Version of Record 17 June 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.05.030