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We consider the scenario that N sensors collaborate to observe a single event. The sensors are distributed and can only exchange messages through a network to reach a consensus about the observed event. In this paper, we propose a very robust and simple method using broadcast gossip algorithm to solve the distributed hypothesis testing problem. The simulation result shows that our method has good...
It is suggested that emotion plays a significant role in rational and intelligent behaviors. People behave emotions in different ways, and may not be noticeable through outside appearances. However, physiological information may reveal the clue for emotions. We proposed a mobile personal emotion monitoring system design, and proposed an adaptive algorithm that can help recognize user's emotion stateby...
Compressive sampling is a novel framework that exploits sparsity of a signal in a transform domain to perform sampling below the Nyquist rate. In this paper, we apply compressive sampling to reduce the sampling rate of binary images. A system is proposed whereby the image is split into non-overlapping blocks of equal size and compressive sampling is performed on selected blocks only using the orthogonal...
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