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spectrum-estimation
- 功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 -Power spectrum estimation is the use of
xizaipufenxi
- 包含了两种现代谱分析方法，即AR模型法与bartlett法，对信号的分析有重要作用。-Contains two modern spectral analysis method, namely the AR model law and bartlett method for analyzing signals an important role.
bandpass
- 带通滤波 利用自适应AR模型，滤除0.9Hz以下和1.1Hz以上波形-Bandpass filter using adaptive AR model, filter below 0.9Hz and 1.1Hz above waveform
Untitled5
- 令信号长度为N=256，用Levinson-Durbin迭代法解16阶AR模型的功率谱，程度可用-So that the signal of length N = 256, 16-step solution of the power spectrum of the AR model using Levinson-Durbin iterative method, the extent of the available
AR_with_remove
- 时间序列分析，AR模型，用于流数据预测与滤波 输入参数：y为原始数据矩阵，p为AR模型的阶数，la为自回归模型的遗忘系数 输出参数：预测值，置信区间，离群点等-Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting c
weinalvbo
- 设计一维纳滤波器。 （1）产生三组观测数据，首先根据s(n)=as(n-1)+w(n)产生信号s(n)，将其加噪(信噪比分别为20dB，10dB，6dB)，得到观测数据x1(n)，x2(n)，x3(n)。 （2）估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。 -Design a Wiener filter. (1) generate three sets of observations data, f
psd
- 经典谱估计和现代谱估计方法matlab程序，周期图法，Welch法，AR模型的yuler,Burg,协方差和修正的协方差法-Classical and modern spectral estimation spectral estimation method matlab program, yuler periodogram, Welch method, AR model, Burg, covariance and modified covariance method
AR_karman
- 用AR模型和KARMAN功率谱对脉动风进行模拟，在此基础上叠加平均风，得到风序列-KARMAN power spectrum with AR model and simulate the fluctuating wind , the average wind overlay, get wind sequence
AR_Simiu
- 用AR模型和SIMIU功率谱模拟脉动风，在叠加平均风，得到风序列-SIMIU power spectrum with AR model and simulate the fluctuating wind , the average wind overlay, get wind sequence
LJSDFSS3
- 【matlab编程代做】基于AR模型的Rayleigh瑞利衰落信道仿真源代码 -[Do] matlab program generation based on AR model Rayleigh Rayleigh fading channel simulation source code
LJSD323
- 【matlab编程代做】基于AR模型的Rayleigh瑞利衰落信道仿真源代码 -[Do] matlab program generation based on AR model Rayleigh Rayleigh fading channel simulation source code can be used as a reference
coefficientcalculating
- 计算一个序列的AR模型系数的前3个系数值,非常好用-Calculating a sequence of former three coefficients AR model coefficients, very handy
DSP_3_17_3
- 产生随机信号观测样本，不同信噪比和归一化频率。用Leivison-Durbin迭代算法求解AR模型的系数并估计功率谱。-Generate random signal observation samples, different signal to noise ratio and normalized frequency.Use Leivison- Durbin iterative algorithm of AR model coefficients and estimate the power
upload
- 数字信号处理中使用AR模型编写的简单的股票价格预测代码-Digital signal processing is used to prepare a simple AR model to predict stock price Code
2013E8801
- python实现股票预测，用AR模型实现股票走势跟踪-python achieve stock forecasting, using AR model implementation tracking stock movements
ar_model
- AR模型系数，输入参数为信号和阶数，输出结果为相应的AR模型系数。-Calculation of coefficients of AR models
ARburg
- 基于burg法的AR建模，根据信号序列x和阶次p计算AR模型参数和误差，返回模型参数及误差功率。方便定阶及功率谱计算。-Time series analysis of AR model, based on burg method，rectifiable the power of residual squares, easy to determine the model order and compute the power spectral density.
cheliuliangyuce
- 短时交通流预测是实现交通流诱导的关键技术之一。短时交通流因为其不确定性等特点而使其预测很复杂。本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。-Traffic flow forecasting is one of the key technologies to achieve traffic induced. Traffic flow because the characteristics of its uncertainty
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
LMS
- 基于AR模型的最小均方误差，自适应滤波算法-AR model based on minimum mean square error, adaptive filtering algorithm