The Application of Sparse Representation for Classification Problems on Wireless Sensor Networks
نویسنده
چکیده
This research will focus on applying the sparse representation for classification problems on wireless sensor networks, which includes the topics about acoustic classification, the transmission data size reduction and indoor radio frequency based localization accuracy improvement. Sparse representation is applied for increasing the performance of the acoustic classification and radio tomographic imaging(RTI). This work also investigates how to fit the computationally expensive into the resource constrained wireless sensor networks.
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تاریخ انتشار 2013