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以频率作为根据,能量根据其分布的情况会有一系列的数据变化,这在功率谱估计中能得到很好的体现。所分析的数据来源于随机过程中的,所得到的真实功率谱,也是从随机序列的数据中计算出来的,因此,这研究的问题明显就是属于谱估计方面的。在随机的过程中,衡量真实的程度,是以谱估计质量作为标准的,谱估计质量也会受到某些因素的影响,比如数学模型的建立,使用谱估计的方式。在本文中,谱估计所用到的几种方式,都会相应的被提及到,以此作为前提,在继续往更深的层次去探究周期图法、Welch法和AR法,借助Matlab,可进行仿真实验,将上面提到的方法所能带来的实践价值,充分的表现出来。
Based on the frequency, there is a series of data changes of the energy according to its distribution, which can be well reflected in the power spectrum estimation. The data analyzed comes from the real power spectrum obtained during the random process, and is also calculated from the data of the random sequence. Therefore, the problem of this study obviously belongs to the spectral estimation. In the random process, the degree of truth is measured by the quality of spectrum estimation. The quality of spectral estimation is also affected by some factors, such as the establishment of mathematical models and the use of spectral estimation. In this paper, several methods used in spectral estimation will be referred to accordingly. As a precondition, we continue to explore the periodic graph method, Welch method and AR method at a deeper level, and use Matlab to simulate Experiments, the above-mentioned methods can bring practical value, fully demonstrated.