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Full-Text Articles in Engineering
Video Compressive Sensing With 3-D Wavelet And 3-D Noiselet, Dao Lam, Donald C. Wunsch
Video Compressive Sensing With 3-D Wavelet And 3-D Noiselet, Dao Lam, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
A new compressive video sampling method is investigated. as opposed to other video sampling methods for which processing is conducted on a single-frame basis, this method is applied on multiple frames of the video stream. by exploiting the extension of Wavelet to 3-D with the support of Noiselet 3-D and combining it with fast reconstruction algorithms, this framework produces successful results quickly while maintaining the quality of the video stream. Despite its simplicity, this new approach outperforms other sophisticated methods. © 2012 IEEE.
Adaptive Sampling With Mobile Sensor Networks, Shuo Huang
Adaptive Sampling With Mobile Sensor Networks, Shuo Huang
Dissertations, Master's Theses and Master's Reports - Open
Mobile sensor networks have unique advantages compared with wireless sensor networks. The mobility enables mobile sensors to flexibly reconfigure themselves to meet sensing requirements. In this dissertation, an adaptive sampling method for mobile sensor networks is presented. Based on the consideration of sensing resource constraints, computing abilities, and onboard energy limitations, the adaptive sampling method follows a down sampling scheme, which could reduce the total number of measurements, and lower sampling cost. Compressive sensing is a recently developed down sampling method, using a small number of randomly distributed measurements for signal reconstruction. However, original signals cannot be reconstructed using condensed …