如何在Matlab中优化基本周期图法对随机信号进行的功率谱估计  

How to Use MATLAB to Optimize Power Spectral Estimation of Random Signals Treated by the Basic Period Map Method

作　　者：瞿海雁[1] 李鹂[2] 钱小凌[2] 

机构地区：[1]北京工业大学建工学院,北京100022 [2]首都师范大学物理系,北京100037

出　　处：《首都师范大学学报（自然科学版）》2006年第5期33-36,共4页Journal of Capital Normal University：Natural Science Edition

摘　　要：对于一个随机信号,自相关函数往往最能完整地表征它的统计平均值.我们可以用功率谱密度(Power spectraldensity,PSD)来表征它的统计平均谱特性.此外功率谱估计在测量噪声频谱、最优化线性滤波等其他应用中也有着非常重要的作用,因此对功率谱估计如何进行优化显得更加重要.本文就如何在Matlab中优化基本周期图法对随机信号进行的功率谱估计进行了简单讨论.As for a random signal, self- correlated function can always be the integrate token of its statistic average value. Its statistic spectral characteristics can be shown by power spectral density. In addition, power spectral estimation plays an important role in measuring noise frequency spectra, optimizing linearity filtrated wave etc. So it is of great importance about how to optimize power spectral estimate. This essay discussed about how to simply optimize the power spectral density of random signals by using basic period diagram way often seen in practice.

关 键 词：功率谱 MATLAB 随机信号 

分 类 号：O441[理学—电磁学] TN911[理学—物理]