The Methods of Spectral Estimation of Signals Based on Kravchenko Weight Functions

I. I. Kosilina
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引用次数: 1

Abstract

It is known that an important topic is an intagral part of all classical spectral estimation methods is that of windowing. Windowing is used to control the effect of sidelobes in these spectral estimators. These effect are discussed in this report. The Welch method for improvement digital signal processing in combination with weighting functions (windows) Kravchenko was used. So, numeral experiments present the effectiveness of a new class weighting function (windows).
基于Kravchenko权函数的信号谱估计方法
众所周知,窗化是所有经典光谱估计方法的一个重要组成部分。在这些谱估计器中使用窗来控制副瓣的影响。本文对这些影响进行了讨论。结合加权函数(窗口)Kravchenko改进数字信号处理的Welch方法。因此,数值实验证明了一种新的类加权函数(窗口)的有效性。
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