Time-Frequency Regularization for Impulse Response Estimation

被引：1
|
作者：
Fujimoto, Yusuke [1 ]
机构：
[1] Univ Kitakyushu, Dept Environm Engn, Fukuoka, Japan
来源：
2020 59TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE) | 2020年
关键词：
System identification; regularization; impulse response; frequency response; SYSTEM; KERNELS;
D O I：
10.23919/sice48898.2020.9240275
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses the kernel regularization, which estimates the impulse response with a priori knowledge on the system. Although most of the existing kernel regularization methods are based on a priori knowledge in the time domain, the one in the frequency domain is also important and sometimes available. This paper combines both the time and frequency regularization and show that the identification accuracy is improved by this combination.
引用
收藏
页码：1329 / 1332
页数：4
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