Polyspectral and cyclostationary approaches for identification of closed-loop systems
Polyspectral and cyclostationary approaches for identification of closed-loop systems
复制标题
用于识别闭环系统的多谱和循环平稳方法
DOI：
10.1109/9.384222
复制
发表时间：
1995
期刊：
影响因子：
--
通讯作者：
G. Giannakis
中科院分区：
文献类型：
--
作者：
G. Giannakis
传统的频谱分析无法识别与来自噪声输入输出数据的反馈一起运行的系统。结果表明，多谱方法和循环方法可以识别数据受到一类平稳和循环平稳噪声污染的闭环系统。给出了非参数传递函数估值器的定义，并进行了仿真。>；
Conventional spectral analysis fails in identifying systems operating with feedback from noisy input-output data. It is shown that polyspectral and cyclic methods can identify closed-loop systems with data corrupted by a class of stationary and cyclostationary noise. The class is specified and nonparametric transfer function estimators are developed and simulated. >