Description: 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 Platform: |
Size: 7168 |
Author:张满超 |
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Description: 信号为两个正弦信号加高斯白噪声，用burg递推法对其进行功率谱估计，效果不错。-Signal for two sinusoidal signal plus Gaussian white noise, the recursive method burg its power spectrum estimation, good results. Platform: |
Size: 1024 |
Author:王健 |
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Description: The burg method for the AR model parameters(parametric methods for power spectrum estimation) Platform: |
Size: 1024 |
Author:hakan |
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Description: matlab使用burg法的AR模型谱估计源代码
使用时只需改变加载的文件名
调整模型的阶数就可以了-burg method matlab using AR model spectrum estimation simply by changing the source code used to load the file name to adjust the order of the model can be a Platform: |
Size: 1024 |
Author:侯晋峰 |
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Description: 基于matlab的对于产生的通信信号的功率谱估计的多种算法，包括Burg法、Levinson法、Multitaper方法、MUSIC法，并包括通信信号产生以及理论谱估计算法。-Based on traffic generated by the matlab signal for the power spectrum estimation algorithms, including the Burg method, Levinson method, Multitaper method, MUSIC method, and includes communication theory and signal spectrum estimation algorithm. Platform: |
Size: 4096 |
Author: |
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Description: 功率谱估计是分析随机信号的一种重要方法, 是信息学科的研究热点。文章介绍了现代功率谱估计中AR 模
型参数的几种典型求解算法, 并借助MATLAB 平台对各种算法的功率谱进行仿真。-The power spectrum estimation is an important method for analysis of random signals, information science research focus. The article describes several typical modern power spectrum estimation of AR model parameters algorithm with MATLAB platform to simulate the power spectrum of the various algorithms. Platform: |
Size: 281600 |
Author:zhaoyun |
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Description: 本程序按照胡广书《现代数字信号处理》书中的谱估计的内容仿真了各种经典谱估计方法以及现代谱估计方法（周期图法、BT法、welch法、自相关法、修正的协方差法、burg法），因为是课程作业，因此逻辑上写得十分简洁，适合初学者参考。-The program in accordance with the Hu-book of modern digital signal processing book spectral estimation simulation the various classical spectrum estimation methods, as well as the modern spectral estimation methods (periodogram, BT France, welch method, auto-correlation method, the modified covariance method , burg method), because the course work, so logically written very simple for beginners. Platform: |
Size: 2048 |
Author:宋聃 |
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Description: 功率谱估计
信号为两个正弦信号加高斯白噪声，各正弦信号的信噪比均为10dB，长度为N，信号频率分别为 和 ，初始相位 ，取 ， 取不同数值：0.3，0.25。 为采样频率。分别用Levinson递推法和Burg法进行功率谱估计，并分析改变数据长度、模型阶数对谱估计结果的影响。-Power spectrum estimation signal into two sinusoidal signals applied Gaussian white noise, the SNR of each sinusoidal signal are 10dB, a length of N, respectively, and the signal frequency, initial phase, take, take different values: 0.3,0.25. Is the sampling frequency. Levinson recursive method were used and Burg method for power spectrum estimation, and change the length of the data analysis, the impact on the estimation model order spectrum. Platform: |
Size: 1024 |
Author:gongzhizhen |
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Description: 信号为两个正弦信号加高斯白噪声，各正弦信号的信噪比均为10dB，长度为N，信号频率分别为 和 ，初始相位 ，取 ， 取不同数值：0.3，0.25。 为采样频率。分别用Levinson递推法和Burg法进行功率谱估计，并分析改变数据长度、模型阶数对谱估计结果的影响。-Signal into two sinusoidal signals applied Gaussian white noise, the SNR of each sinusoidal signals are 10dB, a length of N, respectively, and the signal frequency, initial phase, take, take different values: 0.3,0.25. It is the sampling frequency. Respectively Levinson recursion method and Burg method for power spectrum estimation, and change the length of the data analysis, the impact of model order estimation result spectrum. Platform: |
Size: 2048 |
Author:也均 |
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