摘要
研究了非线性Block-oriented模型的结构选择。Block-oriented模型部分地表征了非线性Volterra核,提取部分的高阶统计信息,不同的非线性结构提取不同的统计信息,通过选用正确的结构,使预测的性能得到改善。根据非线性投影原理,利用预测误差和数据各种组合间的相关性,来确定合适的非线性Block-oriented模型,并给出计算机模拟结果。
A study on the test of structure selection of Block-oriented nonlinear model is pressented.Block-oriented nonlinear models character a partial feature of Volterra kernels only and extract partial higher-order statistical information.Different structure concerns with different higher-order statistics.The prediction performance is improved when a correct model is chosen.In accordance with nonlinear orthogonal projection theorem,correlation between error and all possible combinations of data can be used to determine which kind of Block-oriented nonlinear model is appropriate.The results of simulation studies are included to illustrate the validity of the conclusions.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
1990年第1期65-70,共6页
Journal of Beijing University of Aeronautics and Astronautics
基金
国家自然科学基金
关键词
数字信号处理
非线性模型
结构测试
nonlinear model,structure selection,higher-order statistics.
