基于周期图的自适应谱估计方法

An Adaptive Algorithm for Estimating Power Spectra Based on Modified Periodogram

移动的修正周期图谱估计方法在实时处理和非平稳信号处理的场合中是常用的一种有效方法。本文利用其相邻时刻数据组中的数据大量重叠的特点,提出一种谱递推形式的快速自适应谱估计方法,显著地减小了原方法的运算量。

To modify periodogram by moving is a useful and effective method for either real time signal processing or non-stable signal processing. By making use of the property that most of the data in neighbouring time groups are the same, this paper presents a fast adaptive algorithm for estimating the power spectra, which is in the form of spectral recurrence, thus evidently reducing the computatios of the old method.