搜索资源列表
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
NonBinary_EXIT
- Matlab source code for using EXIT charts to design nonbinary LDPC codes This file applies the EXIT chart design method presented at our ISIT 2005 paper, which is called EXIT Method no. 2 in our paper \"Design and Analysis of Nonbinary LDPC Co
gonglvpumatlab
- 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 a
rayleigh_channel_func
- rayleigh衰落信道的matlab源码，采用p阶自相关AR模型-rayleigh fading channel source of Matlab, using p-AR model autocorrelation
matlab_Kalman_proved
- 这是用matlab编写的一个kalman滤波器，数字信号实验维纳滤波，估计AR模型参数-using Matlab is prepared by a Kalman filter, digital signal experimental Wiener filtering, AR model parameters estimated
matlab_wiener
- matlab编程，数字信号实验维纳滤波，估计AR模型参数，具有良好的滤波效果。 -Matlab programming, digital signal experimental Wiener filter, it is estimated that the AR model parameters, has good filtering effect.
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.
morden signal process
- 各种信号处理方法包括AR music burg tls levinson等算法(kinds of signal processing methods include AR music burg tls levinson and other algorithms)
Untitled3
- 对输入信号进行AR自回归计算，计算出AR模型谱估计的值，对之后的计算提供帮助。(AR autoregressive calculation for input signal)
MATLAB
- 采用AR模型对脑电信号进行特征提取，亲测可用！！(Using AR model to extract EEG features, pro test can be used!!)
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)
Time-Frequency Toolbox
- Time Frequency Toolbox matlab时频分析工具箱,里面有各种时频分析函数，用matlab实现的，小波变换，Gabor变化，短时傅里叶变换等等(AF Ambiguity function AR Auto-regressive (filter or model) ASK Amplitude shift keyed signal BJD Born-Jordan distribution BPSK Binary phase shift keyed signal BUD
Matlab-AR模型
- 时间序列分析(Time-Series Analysis)是指将原来的销售分解为四部分来看——趋势、周期、时期和不稳定因素， 然后综合这些因素， 提出销售预测。强调的是通过对一个区域进行一定时间段内的连续遥感观测，提取图像有关特征，并分析其变化过程与发展规模。(Time-Series Analysis model)
AR自回归模型
- 这是基于MATLAB软件的自回归模型，主要用来模拟预测时间序列，该程序同时可实现输出模型模拟结果等功能。