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The emergency of compressed sensing breaks the bottleneck of traditional Nyquist theory and results in various sub-Nyquist sampling architectures. As a representative, the random pulse-position-modulation analog-to-digital converter (PPM ADC) combines compressed sensing techniques with time-domain signal processing to effectively leverage the power efficiency. For this frame, period random sampling...
Transmission in wireless sensor network (WSN) is energy intensive and time consuming. To solve this problem, combination of Analog Network Coding (ANC) and Compressed Sensing (CS) scheme is proposed to save transmission and time slots cost (TSC) in chain-type topology. In this paper, the WSN is divided into many rectangular areas. Then each rectangular area is divided into many clusters, and head...
The main challenge in wireless sensor network is the accuracy and timeliness of event detection and localization. However, for a wireless sensor network, abnormal events are relatively sparse compared with all the events in monitoring area. Compressed sensing theory proposed the idea to recover a sparse signal from a few measurements. In this paper abnormal event detection and localization in wireless...
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