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The transmission rate of uplink and downlink has been increasing with the application of Long Term Evolution (LTE). Correspondingly, for LTE wireless distributed base station, the amount of data transferred between Base Band Unit and Radio Remote Units has been growing. But nowadays, the used equipment can only support a limited interface rate. Aiming at this problem, this paper proposes an adaptive...
An algorithm, TBCClustering, is presented in the paper for clustering GML documents using maximal frequent induced subtree patterns. TBCClustering mines the maximal frequent induced subtrees by using the structural information of GML documents, it can get the best minimum support automatically, and then chooses a set of subtree patterns to form the optimistic clustering features. Finally it uses CLOPE...
Compressive sensing (CS) has attracted many researchers since it offers a novel paradigm that one can acquire sparse signals at a sub-Nyquist rate without information losses. In J. Ma, April 2009, S. Bhattacharya et al, Aug 2007, and G. Rilling et al, 2009, the authors have presented some schemes for CS application on remote sensing imaging, some of which are related to SAR. CS remote sensing imaging...
Based on adaptive rood pattern search (ARPS) algorithm, a new fast and efficient motion estimation algorithm called enhanced adaptive rood pattern search (E-ARPS) is proposed in this paper. Unlike ARPS, the E-ARPS utilizes spatial correlations to predict the initial search centre, then introduces a new initial search based on motion vector(MV) centre-biased distribution , and an adaptive unequal-arm...
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