Search - AR order

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[matlab] ARMODEL DL : 0: 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
Update : 2025-02-17 Size : 2kb Publisher :
[Mathimatics-Numerical algorithms] burg DL : 0: 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.
Update : 2025-02-17 Size : 22kb Publisher : lkz
[Wavelet] MARBURG DL : 0: 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
Update : 2025-02-17 Size : 1kb Publisher : king_key
[Other] r_fading DL : 0: 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 "
Update : 2025-02-17 Size : 1kb Publisher : cqj
[Other] sin102 DL : 0: 用MATLAB编写的一个多频正弦信号的AR模型功率谱估计程序用的是LEVISION算法阶数判定使用的是最优算法并与库函数进行对比-MATLAB prepared a multi-frequency sinusoidal signals in the AR model power spectrum estimation procedures using the electron ISION algorithm order determined using the optimal algorithm and with the contrast function
Update : 2025-02-17 Size : 2kb Publisher : wang jian
[matlab] Burg_matlab DL : 0: AR模型的Burg算法的matlab程序! 只要把程序里面的K的值改为所求问题的阶次，把x改成所求问题的数据矢量就可以非常方便的求出Burg算法的AR模型的参数！-AR model of Burg algorithm matlab program! As long as the procedures inside the value of K changed the order for the problem, the problem for x into the vector data can be very convenient Burg algorithm to derive the parameters of AR model !
Update : 2025-02-17 Size : 1kb Publisher : sunbeam
[Special Effects] NJNUAYAARPOWER DL : 0: marburg.c 用Burg算法求AR模型的参数。 mar1psd.c 由AR模型参数得到功率谱。 maryuwa.c 用Levinson算法求解Yule-Walker方程以得到阶AR模型的参数。 -marburg.c using Burg algorithm for AR model parameters. mar1psd.c by the AR model parameters obtained power spectrum. Levinson algorithm maryuwa.c with Yule-Walker equation in order to get rank AR model parameters.
Update : 2025-02-17 Size : 2kb Publisher : bj
[Mathimatics-Numerical algorithms] MARYUWA DL : 0: 该程序源码能够很好地用Levinson算法求解Yule-Walker方程以得到阶AR模型的参数。-The program source code can be very good with Levinson algorithm Yule-Walker equation in order to get rank AR model parameters.
Update : 2025-02-17 Size : 1kb Publisher : wangzugao
[Wavelet] MARYUWA DL : 0: 用Levinson算法求解Yule-Walker方程以得到p阶AR模型的参数a（1）……a（n-1）。-Levinson algorithm using Yule-Walker equation in order to obtain p-order AR model parameters a (1) ... ... a (n-1).
Update : 2025-02-17 Size : 1kb Publisher : enhom
[Windows Develop] Rayleigh_fading DL : 0: 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", IEEE Transaction on Wireless Communications, July 2005.-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 , IEEE Transaction on Wireless Communications, July 2005.
Update : 2025-02-17 Size : 1kb Publisher : Feng
[Program doc] backAR DL : 0: 二阶自回归信号模型AR（2）希望能对大家有用献给大家了-Signal model of second-order autoregressive AR (2) useful for all of us hope that we all have had a dedicated
Update : 2025-02-17 Size : 95kb Publisher : fangxiao
[Mathimatics-Numerical algorithms] Burg_AR DL : 0: 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
Update : 2025-02-17 Size : 1kb Publisher : 田建勋
[matlab] ls-ar DL : 0: 自编函数实现AR模型的最小二乘估计（AR阶数=4）-AR model of self-function of least squares estimation (AR order = 4)
Update : 2025-02-17 Size : 1kb Publisher : 王冰
[Mathimatics-Numerical algorithms] ARDJ DL : 0: AR模型定阶，用AIC准则对AR模型进行阶数的确定-AR Model jieshu de queding yong AIC zhunce ,ok le meiyou
Update : 2025-02-17 Size : 1kb Publisher : 秦静
[Algorithm] AR DL : 0: 使用时间序列分析AR方法对油价进行分析，以及预测。采用BIC准则进行判阶，最小二乘法进行参数估计-AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation
Update : 2025-02-17 Size : 4kb Publisher : wangerzhu
[matlab] AR-aic DL : 1: AR模型下的AIC模型阶数判断准则，希望对大家有用-AR model of the AIC model order criterion, we hope to be useful
Update : 2025-02-17 Size : 1kb Publisher : 陶落差
[matlab] AR DL : 0: 建立基本的AR模型，并进行阶次分析与比较。-Establish a basic AR model, and the order of analysis and comparison.
Update : 2025-02-17 Size : 1kb Publisher : 张亮辉
[matlab] AR DL : 0: AR谱估计函数，内置基于FPE准则、AIC准则以及CAT准则判定AR阶数-AR spectral estimation function, built-in standards-based FPE, AIC criteria and guidelines to determine the AR order of CAT
Update : 2025-02-17 Size : 1kb Publisher : 许一
[Software Engineering] AR-order DL : 0: 一种ARMA过程的AR阶数确定新方法，涉及AR阶数定阶,MDL信息法则-A new method for AR order determination of an ARMA process
Update : 2025-02-17 Size : 381kb Publisher : 潘水洋
[matlab] arorder DL : 0: 在时间序列的预测模型中，需要就算自回归模型的p阶数，以这个函数是用来估计AR阶数的，便于构建自回归滑动平均模型，来预测未来事物的发展趋势。(This function estimates AR order)
Update : 2025-02-17 Size : 1kb Publisher : DragonFZJ

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