搜索资源列表
MS(k)-AR(p)
- 基于matlab的马尔科夫链回归预测，附带程序使用和说明。- regarading to Forecasting based on Matlab Markov Chain,with the incidental uses and descr iption.
AR-model-matlab
- 包含7个常的AR模型仿真算法，matlab编写-AR model simulation algorithm consists of seven normal, matlab write
AR
- AR法模拟脉动风场风速，matlab程序-AR methods，for fluctuate wind simulation
Several-methods-AR-Model
- AR模型的几种简单估计，用matlab编程，初学可以参考-Some simple AR model is estimated using matlab programming, beginners can refer
AR-model-parameter-estimation
- MATLAB实现用Burg算法估计AR模型参数，进而实现功率谱估计-AR model parameter estimation using the Burg algorithm, so as to realize the power spectrum estimation
AR-MAC
- MATLAB SOURCE CODE OF AR-MAC. PROPOSED AND IMPLEMENTED BY Aziz ur Rahim
ar
- ar算法频谱分析绝对能用的matlab仿真-ar absolute spectral analysis algorithm can be used matlab simulation
ar
- matlab code for spatial domain implementation
AR
- 一个简单的matlab程序，用于实现自回归AR模型。- U4E00 u4E2A u7B80 u5355 u7684matlab u7A0B u5E8F uFF0C u7528 u4E8E u5B9E u73B0 u81EA u56DE u5F52AR u6A21 u578B u3002
maidongfeng
- 线性滤波法（自回归法法）生成脉动风速时程(generate fluctuating wind speed by AR method)
AR
- 为matlab代码，通过输入参数，产生的是AR噪声序列。(The AR noise sequence is generated.)
Rayleigh_fading_channel_simulation
- This program is to simulate the Rayleigh fading channels using a p-th order autoregressive model AR(p)
randomAR
- 随机水文学中一个AR模型的小程序，适合随机水文学的初级学习者学习。(it is used for Stochastic hydrology learning.it is a program for AR model.)
stationary random simulation
- 这是一个关于随机水文学模拟水位的程序，课后习题 的验证与编程(it is used for stationary random simulation.it is the answer of a AR model)
1
- 设计AR（2）模型下的维纳滤波器，实现对随机信号的滤波(Design the wiener filter under the AR (2) model to filter the random signals)
LMS与RLS对比
- 预测信号由二阶AR模型产生，为二阶线性预测滤波器，LMS算法与RLS算法性能对比(The predicted signal is generated by the two order AR model, and is the two order linear prediction filter,performance comparison between LMS algorithm and RLS algorithm)
Least-Mean-Square-LMS-master
- %这是LMS的实现 测试LMS是否正确: 我将估计一个生成的AR函数的重量/系数(% This is an implementation of LMS % To test LMS if it works correctly: % I will estimate the weights/coefficients of a generated AR function)
ARmethod
- 基于AIR模型的线性滤波器法模拟风速时程(Linear Filter Method Based on AIR Model to Simulate Wind Speed Time)
arimanet
- ARIMA模型全称为自回归积分滑动平均模型(Autoregressive Integrated Moving Average Model,简记ARIMA)，是由博克思(Box)和詹金斯(Jenkins)于70年代初提出一著名时间序列预测方法[1] ，所以又称为box-jenkins模型、博克思-詹金斯法。其中ARIMA（p，d，q）称为差分自回归移动平均模型，AR是自回归， p为自回归项； MA为移动平均，q为移动平均项数，d为时间序列成为平稳时所做的差分次数。所谓ARIMA模型，是指将非平稳
信号处理第三章
- 用AR 模型的自相关法估计信号的功率谱，用AR 模型的Burg 算法估计信号的功率谱，最大熵功率谱估计，用自相关矩阵分解的MUSIC 算法估计信号的功率谱(The power spectrum of the signal is estimated using the AR model autocorrelation method. The power spectrum of the signal is estimated using the Burg model of the AR model.