Estimation of time-varying coherence function using time-varying transfer functions

被引:32
|
作者
Zhao, H
Lu, S
Zou, R
Ju, KW
Chon, KH
机构
[1] SUNY Stony Brook, Dept Biomed Engn, Stony Brook, NY 11794 USA
[2] Childrens Hosp, Dept Neurosurg, Boston, MA 02115 USA
关键词
time-varying transfer function; time-varying coherence function; ARMA; time-varying; renal autoregulation;
D O I
10.1007/s10439-005-7045-4
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
We introduce a new method to estimate reliable time-varying coherence functions (TVCF) for causal systems. The technique is based on our previously developed method to estimate time-varying transfer functions (TVTF), known as the time-varying optimal parameter search algorithm [Zou, R., H. Wang, and K. H. Chon. A robust time-varying identification algorithm using basis functions. Ann. Biomed. Eng. 31: 840-853, 2003]. The TVCF is estimated by the multiplication of two TVTFs. The two TVTFs are obtained using signal x as the input and signal y as the output to produce the first TVTF, and signal y as the input and signal x as the output to produce the second TVTF. Demonstration of the feasibility and efficacy of the proposed approach is provided with both simulation examples and application to renal blood flow and pressure data. The proposed approach provides higher time-frequency resolution TVCF than afforded by the short time Fourier transform based TVCF.
引用
收藏
页码:1582 / 1594
页数:13
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