摘要
提出了一种基于可逆整数小波变换 (IWT)的雷达信号实时无损压缩算法 .雷达回波信号是一个非平稳的随机过程 ,首先用IWT滤波器对雷达信号进行分解 ,将小波系数分割为重要系数图和残余系数图两部分 ;对重要系数图用改进的SPIHT算法进行量化编码 ,最后一次阈值为分割阈值 ;对残余系数图按位平面采用基于自适应上下文模型 (context basedmodel)算术编码压缩 ,并比较不同上下文模型对压缩效果的影响 .实验结果表明 。
A real time lossless coding method of radar return based on integer to integer wavelet transform (IWT) is presented. Radar return is a nonstationary random process. It is decomposed by IWT, then wavelet coefficients are divided into two parts, significiance map and residue map by the last threshold used in an improved set partitioning in hierarchical tree(SPIHT), which is used in significiance map coding. The residue map is coded according to bitplane using context based arithmetic coding.The performance of different context is also compared. The method proposed has advantages of being real time, parallel, and easy to implement.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2002年第10期1070-1074,共5页
Journal of Xi'an Jiaotong University
基金
国家创新研究群体科学基金资助项目 (60 0 2 4 30 1 )