A quantitative analysis of SNR in the short-time Fourier transform domain for multicomponent signals

被引：55
|
作者：
Xia, XG [1 ]
机构：
[1] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1998年 / 46卷 / 01期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/78.651216
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 quantitative analysis is given for the signal-to-noise ratio (SNR) in the short-time Fourier transform domain for multicomponent. signals in additive white noise. It is shown that the SNR is increased on the order of O(N/K), where K is the number of components of a signal, N/T is the sampling rate, and T is the window size. The SNR increase rate is optimal for given K. For this result, the SNR definition is generalized, which is suitable for signals not only in the time domain but also in other domains. This theory is illustrated by one numerical example.
引用
收藏
页码：200 / 203
页数：4
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