Convergence analysis of linearly constrained SMI and LSMI adaptive algorithms

被引：3
作者：
Abramovich, YI [1 ]
机构：
[1] CSSIP, Cooperat Res Ctr Sensor Signal & Informat Proc, Mawson Lakes, SA 5095, Australia
来源：
IEEE 2000 ADAPTIVE SYSTEMS FOR SIGNAL PROCESSING, COMMUNICATIONS, AND CONTROL SYMPOSIUM - PROCEEDINGS | 2000年
关键词：
D O I：
10.1109/ASSPCC.2000.882481
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 probability densities for the loss factor caused by finite sample support in sample matrix inversion (SMI) and loaded sample matrix inversion (LSMI) adaptive algorithms with auxiliary linear constraints are introduced. Supervised and unsupervised training conditions along with matched and mismatched steering vector conditions are considered.
引用
收藏
页码：255 / 259
页数：5
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