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Description: 用Burg算法估计AR模型参数，进而实现功率谱估计.
形参说明：
x——双精度实型一维数组，长度为n，存放随机序列。
n--整型变量,随机序列的长度。
p--整型变量,AR模型的阶数。
a--双精度实型一维数组，长度为(p十1)。存放AR模型的系数a(0),a(1),...,a(p)。
v--双精度实型指针,它指向预测误差功率，即AR模型激励白噪声的方差。
-with Burg algorithm estimates AR model parameters, thereby realizing the power spectrum estimation. - Participation : x -- double-precision real one-dimensional arrays, length n, storage random sequence. N -- integer variables, random sequence length. P -- integer variables, AR model of order. A -- double-precision real one-dimensional arrays, length (p 10). AR storage coefficient of a model (0), a (1 ),..., a (p). V -- double precision real-pointer, it forecast errors at power, AR model that inspired the white noise variance.
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Author: lkz |
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Description: burg法估计AR（P)模型参数的算法。里面ef是前项误差bf是后项误差，mse是预测误差的均方值。程序的最后输出的是把各阶预测误差放在一个下三角距阵中-burg estimates the AR (p) model parameter algorithm. Ef is inside the former bf error is the latter error, mse is forecast error of the mean square value. Procedures for the final output stage is the prediction error on a triangular matrix under which
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Size: 799 |
Author: 李伟 |
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Description: 用Burg算法估计AR模型参数，进而实现功率谱估计.
形参说明：
x——双精度实型一维数组，长度为n，存放随机序列。
n--整型变量,随机序列的长度。
p--整型变量,AR模型的阶数。
a--双精度实型一维数组，长度为(p十1)。存放AR模型的系数a(0),a(1),...,a(p)。
v--双精度实型指针,它指向预测误差功率，即AR模型激励白噪声的方差。
-with Burg algorithm estimates AR model parameters, thereby realizing the power spectrum estimation.- Participation : x-- double-precision real one-dimensional arrays, length n, storage random sequence. N-- integer variables, random sequence length. P-- integer variables, AR model of order. A-- double-precision real one-dimensional arrays, length (p 10). AR storage coefficient of a model (0), a (1 ),..., a (p). V-- double precision real-pointer, it forecast errors at power, AR model that inspired the white noise variance.
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Size: 22528 |
Author: lkz |
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Description: 武汉理工大学程磊编写的AR模型的Burg算法的matlab程序，有用-Wuhan Polytechnic University Hai prepared by the AR model Burg algorithm Matlab procedures useful
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Size: 1024 |
Author: 程磊 |
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Description: Routine marburg: To estimate the AR parameters by Burg algorithm.
Input Parameters:
n : Number of data samples
ip : Order of autoregressive process
x : Array of complex data samples x(0) through x(n-1)
Output Parameters:
ep : Real variable representing driving noise variance
a : Array of complex AR parameters a(0) to a(ip)
ierror=0 : No error
=1 : ep<=0 .
ef : complex work array. ef[0] to ef[n-1]
eb : complex work array. eb[0] to eb[n-1]
in chapter 12-Routine marburg: To estimate the AR parameters by Burg algorithm. Input Parameters: n: Number of data samples ip: Order of autoregressive process x: Array of complex data samples x (0) through x (n-1) Output Parameters: ep: Real variable representing driving noise variance a: Array of complex AR parameters a (0) to a (ip) ierror = 0: No error = 1: ep <= 0. ef: complex work array. ef [0] to ef [n-1] eb: complex work array. eb [0] to eb [n-1] in chapter 12
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Author: king_key |
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Description: burg法估计AR（P)模型参数的算法。里面ef是前项误差bf是后项误差，mse是预测误差的均方值。程序的最后输出的是把各阶预测误差放在一个下三角距阵中-burg estimates the AR (p) model parameter algorithm. Ef is inside the former bf error is the latter error, mse is forecast error of the mean square value. Procedures for the final output stage is the prediction error on a triangular matrix under which
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Size: 1024 |
Author: 李伟 |
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Description: 各种功率谱估计算法!包括AR谱估计,BURG算法,YULE-WALK方程-various power spectrum estimation algorithm! Including AR spectral estimation, BURG algorithm, YULE-WALK equation
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Size: 2048 |
Author: da niu |
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Description: about dsp,use Burg arithmetic to get the parameter of AR model ,and so on-about dsp. Burg use arithmetic to get the parameter of AR mo del, and so on
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Size: 8192 |
Author: zhoujianfang |
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Description: 用周期图法求出的功率谱曲线和burg算法求出的AR功率谱曲线(p=50)-Periodogram calculated using the power spectrum curves and burg algorithm to derive the AR power spectral curve (p = 50)
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Size: 9216 |
Author: 赵西玲 |
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Description: 有用BURG法实现AR模型功率谱估计的详细试验结果，对学数字信号处理的人很有帮助,能让你很好的理解BURG算法，和AR 模型。-BURG useful method power spectrum estimated AR model detailed test results, digital signal processing for school people very helpful, allowing you a good understanding of BURG algorithm, and the AR model.
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Size: 99328 |
Author: 张丽 |
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Description: 求AR模型系数的burg算法，比较简明易懂，适合初学者-Order AR model coefficients burg algorithm, compared and easily understandable for beginners
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Size: 1024 |
Author: 田建勋 |
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Description: AR模型参数的FORTRAN和C两种语言的几种算法（BURG，YUMA等）-ARmodel parameters of the Fortran and C languages[URG,YUMA,c.]
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Size: 6144 |
Author: 刘建 |
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Description: 主要是BURG法对声信号进行谱估计的程序。
还有利用BURG法求AR模型系数-BURG mainly on the sound signal spectral estimation process. BURG method are the use of AR model coefficients
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Size: 116736 |
Author: 张强 |
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Description: 谱估计,包括自相关,协方差,修正协方差,burg法,另外还有MUSIC和ESPRIT法-Spectral estimation, including the auto-correlation, covariance, Covariance amended, burg method, as well as MUSIC and ESPRIT method
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Size: 4096 |
Author: |
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Description: The burg method for the AR model parameters(parametric methods for power spectrum estimation)
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Size: 1024 |
Author: hakan |
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Description: AR过程的线性建模与功率谱估计 Yule-Walker法(自相关法) 协方差法；(2) Burg方法；(3) 修正协方差法 -The linear AR process modeling and Yule-Walker power spectrum estimation method (autocorrelation method) covariance method (2) Burg method (3) modified covariance method
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Size: 168960 |
Author: 王琴 |
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Description: ar burg算法的matlab程序，可供参考-ar burg algorithm matlab program, available for reference
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Size: 1024 |
Author: vincent |
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Description: Function BURG: Computation of AR model using Burg s algorithm. Usage: [a,alpha,rc]=burg(x,p)
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Size: 1024 |
Author: horac |
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Description: 在对随机信号的分析中，功率谱估计是一类重要的参数研究，功率谱估计的方法分为经典谱法和参数模型方法。参数模型方法是利用型号的先验知识，确定信号的模型，然后估计出模型的参数，以实现对信号的功率谱估计。根据wold 定理,AR模型是比较常用的模型，根据Burg算法等多种方法可以确定其参数。-In the analysis of random signals, power spectrum estimation is a kind of important parameter research. The method of power spectrum estimation is divided into classical spectrum method and parameter model method. The parametric model method uses the prior knowledge of the model to determine the model of the signal and then estimates the parameters of the model to achieve the power spectrum estimation of the signal. According to the Wold theorem, the AR model is a more commonly used model, and its parameters can be determined by various methods such as the Burg algorithm.
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Size: 9216 |
Author: 吴漫 |
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