Pattern Recognition Using Adaptive Schur-like Parametrization of Signals with Forgetting Factor

被引：0
作者：
Libal, Urszula [1 ]
机构：
[1] Wroclaw Univ Sci & Technol, Signal Proc Syst Dept, Wroclaw, Poland
来源：
2018 INTERNATIONAL CONFERENCE ON SIGNALS AND ELECTRONIC SYSTEMS (ICSES 2018) | 2018年
关键词：
Schur parametrization; feature extraction; adaptive algorithm; signal processing; pattern recognition; RECURSIVE LEAST-SQUARES; RLS ALGORITHM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper presents a feature extraction method for signal classification tasks. The proposed method is based on linear adaptive Schur-like parametrization. The parametrization performance depends on a forgetting factor. The impact of forgetting factor, used in the adaptive procedure, on the quality of recognition was tested on well-known benchmark data.
引用
收藏
页码：151 / 156
页数：6
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