多道谱仪能谱数据混合压缩方法研究  

Research on Hybrid Compression Method of Energy Spectrum Data

作　　者：曹剑锋 李连刚 王俊景 CAO Jian-feng;LI Lian-gang;WANG Jun-jing(Institute of NBC Defense,Beijing 102205,China)

机构地区：[1]陆军防化学院,北京102205

出　　处：《核电子学与探测技术》2022年第4期664-667,共4页Nuclear Electronics & Detection Technology

摘　　要：探讨了一种对多道谱仪的能谱数据进行混合压缩的方法。针对具体的数据类型,在对以往能谱数据压缩算法验证比较的基础上,结合位差值序列法和熵编码等方法,实现了压缩率较高的无损压缩。对16384道能谱数据的最高压缩比达到7.75,平均压缩比达到8,满足了多道能谱仪在进行数据传输时的压缩需求,为将来能谱数据的无线传输提供了有力支撑。An effective hybrid compression scheme for multi-channel energy spectrum analyzer is proposed.According to the specific data types,on the basis of verifying and comparing the previous energy spectrum data compression algorithms,combining the bit diference sequence method and entropy coding method,lossless compression with high compression ratio is realized.The highest compression ratio for 16384 energy spectrum data is 7.75,and the average compression ratio is 8,which meets the compression requirements of multi-channel energy spectrum analyzer in data transmission and provides a strong support for future wireless transmission of energy spectrum data.

关 键 词：多道谱仪 能谱数据 混合 位差值序列法 熵编码 无损压缩 

分 类 号：TL81[核科学技术—核技术及应用]