Radial Function Based Kernel Design for Time-Frequency Distributions

被引：4

作者：

Kodituwakku, Sandun ^{[1
]}

Kennedy, Rodney A. ^{[1
]}

Abhayapala, Thushara D. ^{[1
]}

机构：

[1] Australian Natl Univ, Res Sch Informat Sci & Engn, Appl Signal Proc Grp, Canberra, ACT 0200, Australia

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2010年 / 58卷 / 06期

关键词：

Bessel distribution; Born-Jordan distribution; Cohen class; kernel design; Margenau-Hill distribution; multidimensional Fourier transform; time-frequency distributions (TFDs); ATRIAL-FIBRILLATION;

D O I：

10.1109/TSP.2010.2044252

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 framework based on the n-dimensional Fourier transform of a radially symmetric function is introduced to design kernels for Cohen time-frequency distributions. Under this framework, we derive a kernel formula which generalizes and unifies Margenau-Hill, Born-Jordan, and Bessel distributions, using a realization based on a n-dimensional radial delta function. The higher order radial kernels suppress more cross-term energy compared with existing lower order kernels, which is illustrated by the time-frequency analysis of atrial fibrillation from surface electrocardiogram data.

引用

页码：3395 / 3400

页数：6

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