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Super-resolution theory aims to estimate the discrete components lying in a continuous space that constitute a sparse signal with optimal precision. This work investigates the potential of recent super-resolution techniques for spectral estimation in multi-rate sampling systems. It shows that, under the existence of a common supporting grid, and under a minimal separation constraint, the frequencies...
Today, Hadoop Distributed File System (HDFS) is widely used to provide scalable and fault-tolerant storage of large volumes of data. One of the key issues that affect the performance of HDFS is the placement of data replicas. Although the current HDFS replica placement policy can achieve both fault tolerance and read/write efficiency, the policy cannot evenly distribute replicas across cluster nodes,...
In this paper, we propose a simple but effective adaptive bilateral filter considering local characteristics. The presented method exploits the local gaussian gradient information of the processing image and applies bilateral filter with changing the range filter parameter adaptively. The proposed adaptive bilateral filter could preserve more details of the image compared with original...
In tennis match highlights mainly take place in shots containing full court (Court view shots), therefore successful court view shots detection is useful for highlights extraction. This paper proposes a court view shots detection algorithm, in which shot detection that is the precondition of usual shot classification is given up for shot detection not only costs more time, but also its detection performance...
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