LSMI algorithm based on inverse QR decomposition

被引：0
|
作者：
Cao Jian-shu [1 ]
Wang Xue-gang [1 ]
机构：
[1] Univ Elect Sci & Technol China, Coll Electron Engn, Chengdu 610054, Sichuan, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Diagonal loaded sample-matrix inversion (LSMI) algorithm requires a high computational complexity. Thus, a new computationally efficient implementation for LSMI algorithm is presented, which is based on an inverse QR decomposition. The new method inserts the diagonal loading by only setting initial inverse Cholesky factor. It can offer good numerical properties and support parallel implementation with VLSI while avoiding backsubstitution operations. Hence, the new method can be applied for real-time signal processing. Simulations support the new algorithm.
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收藏
页码：262 / +
页数：2
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