One novel subspace-based method for MRS signal parameter estimation

被引：0

作者：

Zeng, Weiming ^{[1
]}

Wang, Zhengyou ^{[1
]}

Fang, Zhijun ^{[1
]}

Wu, Shiqian ^{[1
]}

机构：

[1] Jiangxi Univ Finance & Econ, Dept Comp Applicat, Nanchang 330013, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

magnetic resonance spectroscopy; parameter estimation; prior knowledge; decimation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The method HTLS-PK that successfully incorporates prior knowledge into the classical method HTLS has been proven to greatly improve the performance of parameter estimation of overlapping peaks of MRS signal. Based on prior knowledge and decimation, a novel subspace-based parameter estimation method HTLSDStackPK is presented in this paper. The simulated results and relevant analysis show that HTLSDStackPK also have much better performance of paremeter estimation than HTLS at high noise levels. Compared with HTLS-PK, HTLSDStackPK does not lead to better estimation, but the different is not high, and computational complexity of HTLSDStackPK is much lower than that of HTLSPK.

引用

页码：1520 / +

页数：2

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