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In this paper, we propose a distributed simultaneous localization and tracking (SLAT) algorithm in wireless sensor networks. Belief propagation (BP) algorithm is applied on the factor graph which represents the factorization of the joint posterior distribution function. Due to the nonlinearity between the observations and location variables, closed-form expression of messages cannot be obtained by...
Distributed Compressed Video Sensing (DCVS) has developed as one of the efficient solutions that guarantee low complexity video compression. In this paper, a novel DCVS algorithm with unequal protection of the video signal's elements is proposed. The new algorithm utilizes not only the sparsity and probability distribution of the video signal but also its particular unequal significance feature. Based...
Distributed compressive sensing (DCS) is a new technique that provides a low-complexity sub-Nyquist signal acquisition and reconstruction via a small number of random linear projections. In this paper, we propose sparse filter correlation model (SFCM) to exploit the correlations among successive video frames under the framework of distributed compressive video sensing (DCVS). At the central decoder,...
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