摘要
经过长时间的研究发现,在多域波分复用光网络中,使用传统的压缩方法对低复杂度信息进行压缩,存在着失真率高、占用内存空间大的问题,为此设计以多域WDM光网络拓扑原理和压缩感知原理为理论基础的低复杂度信息压缩优化方法。方法将采集的低复杂度信息按照不同的类型分别进行小波变换,求出信息熵冗余;参照计算出的冗余可供压缩度进行置信度传播数据编码。从压缩的失真率以及压缩体积两个方面进行仿真,发现上述方法可以将失真率控制在0.18%左右,且压缩完成的信息大小为传统方法的0.1-0.15倍,有效减少了存储占用空间。
After a long period of research, it is found that the traditional compression method in the multi-domain wavelength division multiplexing optical network has the problems of high distortion rate and large memory space. Therefore, a method to optimize low complexity information compression based on WDM optical network topology principle and the compressed sensing principle was put forward. This method performed the wavelet transform on the collected low complexity information by different types to get the information entropy redundancy. The confidence propagation data coding was performed by reference to the calculated redundant available compressibility. The simulation was carried out from two aspects of compression distortion rate and compression volume. We can see that the proposed method can control the distortion rate within about 0.18%, and the size of compressed information is 0.1-0.15 times than that of the traditional method, which effectively reduces the storage space.
作者
蔡水英
CAI Shui-ying(School of Computer and Information,Fujian Agriculture and Forest University,Fuzhou Fujian 350002,China)
出处
《计算机仿真》
北大核心
2020年第10期119-123,共5页
Computer Simulation
基金
福建省教育厅科技项目(JA15188)。
关键词
波分复用
光网络
信息压缩
低复杂度
Wavelength division multiplexing(WDM)
Optical network
Information compression
Low complexity
