THE TIME-FREQUENCY DISTRIBUTIONS OF NONSTATIONARY SIGNALS BASED ON A BESSEL KERNEL

被引：61
|
作者：
GUO, ZY
DURAND, LG
LEE, HC
机构：
[1] CLIN RES INST MONTREAL,BIOMED ENGN LAB,MONTREAL H2W 1R7,QUEBEC,CANADA
[2] MCGILL UNIV,DEPT ELECT ENGN,MONTREAL H3A 2A7,QUEBEC,CANADA
[3] CLIN RES INST MONTREAL,DEPT SPECIALIZED SERV,MONTREAL H2W 1R7,QUEBEC,CANADA
[4] UNIV MONTREAL,DEPT MED,MONTREAL H3C 3J7,QUEBEC,CANADA
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1994年 / 42卷 / 07期
基金：
英国医学研究理事会;
关键词：
D O I：
10.1109/78.298277
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：
A kernel based on the first kind Bessel function of order one is proposed to compute the time-frequency distributions of nonstationary signals. This kernel can suppress the cross terms of the distribution effectively. It is shown that the Bessel distribution (the time-frequency distribution using Bessel kernel) meets most of the desirable properties with high time-frequency resolution. A numerical alias-free implementation of the distribution is presented. Examples of applications in time-frequency analysis of the heart sound and the Doppler blood flow signals are given to show that the Bessel distribution can be easily adapted to two very different signals for cardiovascular signal processing. By controlling a kernel parameter, this distribution can be used to compute the time-frequency representations of transient deterministic and random signals. This study confirms the potentials of the proposed distribution in nonstationary signal analysis.
引用
收藏
页码：1700 / 1707
页数：8
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