搜索资源列表
ARMODEL
- 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
burg
- 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, ther
yulewalker
- 现代谱估计用莱文森-德宾(Levinson-Durbin)算法求解尤利-沃克(Yule-Walker)方程。 形参说明: r:双精度实型一维数组,存放Yule-Walker方程的元素r(0),r(1),...r(p)。 p:AR模型阶数。 a:AR模型系数a(0),a(1),...a(p)。 v:预测误差功率- The modern spectrum estimated (Levinson-Durbin) the algorithm solves with 鑾辨枃妫?- t
covar
- 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.
ARMODE
- 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
AR_MATLAB
- AR模型的源程序。-AR model of the source.
MAR1PSD
- Routine mar1psd: To compute the power spectum by AR-model parameters. Input parameters: ip : AR model order (integer) ep : White noise variance of model input (real) ts : Sample interval in seconds (real) a : Complex array of AR parame
RobustadaptiveKalmanfilteringbasedspeechenhancemen
- This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autore
AR
- AR模型估计,语音信号的AR参数估计,简单小程序-AR model estimation, AR parameters of the speech signal estimate, simple applet
Weighted-HMM-AR-model
- 一种基于加权隐马尔可夫的自回归状态预测模型-Based on weighted HMM state autoregression prediction model
ar-guji
- 实现AR模型的FAI参数的估计和应用方法-Achieve FAI AR model parameter estimation
AR-model
- 时间序列分析是根据系统观测得到的时间序列数据,通过曲线拟合和参数估计来建立数学模型的理论和方法-auto regression model
AR
- 可以建立任意阶的ar模型画出自相关和偏相关的拖尾和结尾图,并且求出参数估计和残差序列-Can establish arbitrary order AR model painting correlation and partial correlation and tail end of figure, and calculate parameter estimation and the residual sequence
AR
- AR模型的大作业,涉及到2阶三阶四阶,估算AR模型的系数-AR model of operation, involving 2 third-order fourth-order, estimate the coefficient of AR model
ARMA
- ARMA 模型(Auto-Regressive and Moving Average Model)是研究时间序列的重要方法,由自回归模型(简称AR模型)与滑动平均模型(简称MA模型)为基础“混合”构成。在市场研究中常用于长期追踪资料的研究,如:Panel研究中,用于消费行为模式变迁研究;在零售研究中,用于具有季节变动特征的销售量、市场规模的预测等。(ARMA model is an important method for studying time series. It is composed
基于matlab AR模型的最小二乘法实现
- 基于matlab AR模型的最小二乘法实现参数辨识,加上Word配合理解,相信你理解的会更快的。(Matlab AR model based on the least squares method to achieve parameter identification, coupled with Word understanding, I believe you will understand faster.)
MATLAB (2)
- 用最小二乘算法编写程序代码来估计线性AR模型中的系数(programme code to estimate the coefficients in the linear AR model using least square algorithm)
depth_recovery_AR
- Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model 这篇论文的源代码(source code of Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model)
ARORDER
- ar模型aic准则,希望对大家有所帮助。(AR model AIC criterion)
dingjie (2)
- 实现AR模型的定阶,使得预测更加有效,从而建立模型(Realizing Order Determination of AR Model)