摘要
本文研究系统辨识中小波基展开模型的优化问题。优化准则借用了经典辨识方法中的阶次判定准则。仿真结果表明,与原小波基模型相比,优化小波基模型不仅保留了原模型的辨识精度,而且模型简化,辨识工作量降低。
The problem of expending the impulse responses onto a set of wavelet-basis sequences is addressed. By applying an F-test and AIC based approach to wavelet-basis model, we can choose the optimal wavelet basis for a given system. Simulation results have verified that this method is effective in optimizing the wavelet -basis model.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2000年第1期60-63,共4页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金
关键词
系统辨识
模型优化
小波基模型
System Identification, Optimal Model, Wavelet - Basis Model
