Firstly, this paper presents an improved prediction method of maximum usable frequency (MUF) of skywave propagation based on the analysis of the current shortwave frequency prediction method.
在对当前短波频率预测方法进行分析的基础上,提出了一种天波传播最大可用频率预测的改进方法。
The main strength of wavelet analysis is that it can divide data-changing frequency infinitely and it is then possible to use according prediction method in the different frequency band.
本文中使用小波变换的主要优点是它可无限分频的能力,可以将具有不同变化规律的因素造成的价格波动变化分离出来,从而为针对性的寻找预测方法和规律提供了可能;
A cost function is presented, and by applying Gaussian-Newton type recursive prediction error based method, a stable and efficient online frequency estimation algorithm is derived.
在此基础上,建立了最小方差损失函数,并结合高斯·牛顿预测误差方法,提出了稳定的,高性能的,在线的复频率直接估计算法。
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