信号(编程语言)
语音识别
探测理论
估计
计算机科学
循环平稳过程
模式识别(心理学)
人工智能
电信
工程类
探测器
频道(广播)
系统工程
程序设计语言
作者
Goran D. Živanovic,William L. Gardner
标识
DOI:10.1016/0165-1684(91)90016-c
摘要
Abstract The problem of defining an appropriate measure of the degree of nonstationarity for stochastic processes that exhibit cyclostationarity is addressed. After discussing several candidate measures of degree of nonstationarity, one particularly promising measure is adopted. By decomposing this measure, several component measures are arrived at. Bounds on these measures are derived and their utility in applications involving signal detection and estimation is established. Examples are presented to illustrate the calculation of degrees of nonstationarity for several types of cyclostationary signals.
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