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Description: AR 模型拟合，解决多变量自回归 (AR) 模型的参数估计问题-AR model fitting, since the settlement multivariable regression (AR) model parameter estimation problems
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Size: 196608 |
Author: 小秋 |
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Description: 时间序列工具箱 ，内含双谱，AR模型参数估计程序-time series toolbox containing Bispectrum, AR model parameter estimation procedures
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Size: 54272 |
Author: 小秋 |
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Description: 维纳仿镇ar模型-Wiener imitation model town ar
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Size: 1024 |
Author: 大毛 |
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Description: 对于平稳序列,运用ar模型计算其参数，并进行适应性检验。-for a smooth sequence, the use ar model parameters and adaptive testing.
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Size: 2048 |
Author: 龚雪 |
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Description: 功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。-Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe
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Size: 2048 |
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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: 本程序是AR(2)模型进行数据建模，再进行kalman滤波，进行数据去躁处理，尤其用在光纤陀螺上-AR (2) model for data modeling, further Kalman filtering, data processing to impatient, especially with the fiber gyro
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Size: 173056 |
Author: tongliuran |
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Description: 用协方差方法估计AR模型参数，进而实现功率谱估计。- Estimates the AR model parameter with 鍗忔柟宸?the method,
then realization power spectrum estimate.
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Size: 22528 |
Author: lkz |
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Description: 利用ARMA、AR、MA模型，以及周期图等进行系统参数估计-use ARMA, AR, MA model and cycle map for parameter estimation system
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Size: 1024 |
Author: 家家 |
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Description: 在线签名鉴定
DTW算法
AR实现算法
应用实例-online signature verification DTW AR algorithm Application
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Size: 2215936 |
Author: 王每水 |
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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: AR模型的源程序。-AR model of the source.
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Size: 6144 |
Author: 张三 |
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Description: 利用一般最小二乘法和SVD-TLS方法
进行AR参数估计和正弦波频率估计
-use of general and the least-squares method SVD-TLS AR method parameter estimates and the estimated frequency sine wave
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Size: 10240 |
Author: 梁心 |
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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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Size: 1024 |
Author: king_key |
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Description: 程序源码。通过编译，运行成功。原题：Astronomers often examine star maps where stars are represented by points on a plane and each star has Cartesian coordinates. Let the level of a star be an amount of the stars that are not higher and not to the right of the given star. Astronomers want to know the distribution of the levels of the stars. -procedures source. By compiling, running successfully. Original title : Astronomers often examine star maps where star s are represented by points on a plane and each st ar has Cartesian coordinates. Let the level of a star be an amount of the stars that are not higher and not to the right of the given star. Astronome rs want to know the distribution of the levels of the stars.
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Size: 1024 |
Author: 孙威 |
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Description: 功率谱估计matlab防真程序 从介绍功率谱的估计原理入手,分析了经典谱估计和现代谱估计两类估计方法的原理、各自特点及在Matlab中的实现方法率谱估计 周期图法 AR参数法-power spectrum estimation procedures Matlab defense from introducing real power spectrum estimation principle start, Analysis of the spectral estimation classic and modern spectral estimation Estimation of two principles, and their respective characteristics in Matlab method of spectral estimation rate cycle CLC AR parameter method
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Size: 11264 |
Author: lase |
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Description: Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to
％ Baddour s work: "Autoregressive modeling for fading channel simulation"-Program to simulate using Rayleigh fading a p-th order autoregressive model AR (p) accord % ing to Baddour's work : "autoregressive modeling for fading channel's imulation "
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Size: 1024 |
Author: cqj |
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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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