说明：  ex6_1 ～ ex6_3二项分布的随机数据的产生 ex6_4 ～ ex6_6通用函数计算概率密度函数值 ex6_7 ～ ex6_20常见分布的密度函数 ex6_21 ～ ex6_33随机变量的数字特征 ex6_34 采用periodogram函数来计算功率谱 ex6_35 利用FFT直接法计算上面噪声信号的功率谱 ex6_36 利用间接法重新计算上例中噪声信号的功率谱 ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较 ex6_38 在置信度为0.95的区间上估计有色噪声x的PSD ex6_39 在置信度为0.95的区间上估计两个有色噪声x，y之间的CSD ex6_40 用程序代码来实现Welch方法的功率谱估计 ex6_41 用Welch方法进行PSD估计，并比较当采用不同窗函数时的结果 ex6_42 用Yule-Walker AR法进行PSD估计 ex6_43 用Burg算法计算AR模型的参数 ex6_44 用Burg法PSD估计 ex6_45 比较协方差方法与改进的协方差方法在功率谱估计中的效果 ex6_46 用Multitaper法进行PSD估计 ex6_47 用MUSIC法进行PSD估计 ex6_48 用特征向量法进行PSD估计
(ex6_1 ~ ex6_3 binomial distribution of the generated random data ex6_4 ~ ex6_6 generic function value of the probability density function ex6_7 ~ ex6_20 common distribution density function ex6_21 ~ ex6_33 figure characteristics of random variables periodogram function ex6_34 used to calculate the power spectrum ex6_35 direct method using FFT signal above the noise of the power spectrum ex6_36 recalculated using the indirect method on the example of the power spectrum of noise signal tfe function ex6_37 used for system identification, and results were compared with the ideal ex6_38 at 0.95 confidence interval for the estimated colored noise x on the PSD ex6_39 at 0.95 confidence interval of the two colored noise on the estimated x, y between the CSD ex6_40 code used to achieve the Welch method of power spectrum estimation Welch method ex6_41 with PSD estimates, and compare different window function when the results when ex6_42 using Yule-Walker AR method is esti)