摘要
针对密集战术通信信号的实时分选问题,提出了采用TMS320C25开发系统为预处理器,BAM/NBAM(双向联想存储器/新型双向联想存储器)为信号分类器的新型分类系统结构,并分析了信号特征及提取方法。对BAM/NBAM作为信号分类器的结构、原理、性能作了探讨。结果表明,基于BAM/NBAM的通信信号分类方法是有效的,其性能优于传统的线性分类方法。
For real-time classification about concentrated communication signals, this paper proposes a new structure of signal classification systems with a TMS320C25 developing system as the preprocessor and BAM/NBAM classifier as the signal classifier.The signal feature and its extraction method are discussed. An enhancement study is about the structure, the principle and the performance of BAM/NBAM as the signal classifier. Simulation results show that the communication signal classification method based on BAM/NBAM is effective, its performance is better than the traditional linear classification method.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
1992年第5期478-484,共7页
Journal of University of Electronic Science and Technology of China
关键词
信号分类
直方图
分类器
神经网络
signal classification
signal feature
histogram tree-mould classifier BAM/NBAM classifier
