摘要
将ＲＥＬＡＸ（对系统误差和环境加性噪声分布假设可松弛）算法从数据域推广到相关域，建立了该算法在相关域的迭代公式；分析了该算法实现信号分离的数学机理；讨论了该算法迭代过程中的记忆特征和相对遗忘特征．
The paper deals with the extension of the RELAX algorithm from data domain to correlation domain and provides the iterative formulas of the algorithm in correlation domain. A detail analysis of the mathematical mechanism of the signal separation of the algorithm is made and the characteristics of the memory and the relative forgetfulness in iterative processing are discussed as well. Computer simulations are presented to confirm the validity of the theory.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
1997年第2期164-171,共8页
Journal of Xidian University
基金
国家自然科学基金
关键词
RELAX算法
数据域
相关域
信号离
信号分析
RELAX algorithm data domian and correlation domain signals separation the characters of memory and relative forgetfulness
