节点文献
改进权值算法在物联网噪声过滤中应用
Research on Sensor Network Noise Filtering Based on the Linear Weight Algorithm
【摘要】 提出了一种自适应线性权值算法过滤传感网散粒噪声,算法首先提取散粒噪声的特征参数,然后对参数进行线性迭代变换,计算获得自适应权值参数,从而有效实现对散粒噪声的过滤。实验结果表明,该算法能过滤传感网中的散粒噪声,且效果良好。
【Abstract】 This paper proposes an adaptive linear weights algorithm for filtering the shot noise of sensor network.The algorithm first extracts the speckle noise characteristic parameters,and then linear iterative transform the parameters to obtain the closed adaptive weight parameters by calculation,thus implementing speckle noise filtering.Experimental results show that the algorithm can filter sensor network of the speckle noise with good results.
【基金】 江苏省高校自然科学基金资助项目(11KJB510003)
- 【文献出处】 电子科技 ,Electronic Science and Technology , 编辑部邮箱 ,2012年11期
- 【分类号】TP391.44;TN929.5;TN911.4
- 【下载频次】32