摘要
为了提高激光传感器数据传输速度,针对当前激光传感器数据规模大、高冗余特性,提出一种海量激光传感器数据的自适应无损压缩算法。首先对原始海量激光传感器数据的进行小波包分解,然后采用数据挖掘技术对海量激光传感器数据进行自适应无损压缩,最后进行了海量激光传感器数据无损压缩的仿真测试。结果显示,所提方法可以减少量激光传感器数据的冗余特性,加快激光传感器数据传输速度,具有较高的实际应用价值。
In order to improve the data transmission speed of laser sensor,an adaptive lossless compression algo- rithm for massive laser sensor data is proposed in view of the large scale and high redundancy of current laser sensor data. Firstly,the original massive laser sensor data are decomposed by wavelet packet,then the data mining technology is used to self-adaptive lossless compression of the massive laser sensor data. Finally,the simulation test of lossless compression of the massive laser sensor data is carried out. The results show that this method can reduce the redundan- cy of laser sensor data,accelerate the data transmission speed of laser sensor,and has high practical application value.
作者
苑宁萍
宁鹏飞
YUAN Ningping;NING Pengfei(Inner Mongolion Medical University College of Computer and Information,Huhehaote 010000,China)
出处
《激光杂志》
北大核心
2019年第10期143-146,共4页
Laser Journal
基金
教育部项目(No.201899)
关键词
激光传感
冗余特性
小波包分解
数据挖掘技术
laser sensing
redundancy characteristics
wavelet packet decomposition
data mining technology
