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In a nonlinear memory system, using a nonlinear adaptive filter as a predistorter is an effective compensation technique. Predistorters based on closed-loop algorithms typically exhibit better linearity than those based on indirect learning algorithms. However, the steady state of a closed-loop algorithm may be affected by external noise or error signals. In this paper, the long-term stability of...
Given to the non-line-of-sight (NLOS) error existing in the location of wireless sensor network (WSN), together with the strong anti-noise ability, good data approximation and flexible parallel data processing ability of BP neural network, the method of using BP neural network to optimize the location of WSN nodes is put forward in this paper. Firstly, the source of error is analyzed. Then the traditional...
This paper focuses on the concept of multi-path virtual concatenation as a key enabling technology to support the requirements of spectrum bandwidth of link mapping in the process of virtual network embedding (VNE). A dynamic VNE_MP algorithm for distributed data centers inter-connecting is proposed. Based on the multi-path virtual concatenation mechanisms, a virtual link is split into multiple smaller...
Outlier detection is an important data mining task, LOF(local outlier factor) was proposed to indicate the degree of outlierness, which is practical for finding local outliers. However, it is difficult to decide the neighborhood size. In this paper a multi-granularity local outlier detection(MLOD) method is proposed to organize the outlierness under multi-granularity. It finds local outliers in varying...
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