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power.rar
- 这是关于功率谱的Matlab仿真程序，其中有AR、MA、ARMA三种模型的源代码，相关函数的源代码、功率谱的源代码等等。,This is on the power spectrum of the Matlab simulation program
spectralanalysis
- 谱估计（建立二阶AR模型）、利用FFT求解功率谱估计、利用AR模型的Yule-Walker方程求解模型参数等-Spectral estimation (the establishment of second-order AR model), using FFT to solve the power spectrum estimation using AR model of Yule-Walker equation model parameters such as
PSD_Burg
- 用Burg法进行功率谱预测的函数，对信号建立AR模型递推估计-Burg method with projected power spectrum function, the signal is estimated that the establishment of recursive AR model
KavehisestimatedARMApowerspectrum
- 利用Kaveh法估计ARMA过程功率谱，只需计算AR系数，简化过程。-Kaveh estimation using ARMA process of the power spectrum, simply calculating AR coefficients, to simplify the process.
h3
- 程序分为两部分，分别用周期图法、AR模型法实现了太阳黑子数据功率谱估计-Experiment is divided into two parts, with the periodogram method, AR model method to achieve a sunspot data power spectrum estimation
AP
- 该文件描述AR过程的线性建模与功率谱估计-The document describes the linear AR process modeling and power spectrum estimation
S
- 实现功率谱估计的函数： Arburg:用Burg算法估计AR模型的参数； Arcov: 用协方差法估计AR模型的参数； Armcov:用改进的协方差法估计AR模型的参数； Aryule:用Yule_Walker算法估计AR模型的参数； -To achieve a function of power spectrum estimation: Arburg: AR with Burg algorithm to estimate model parameters Arcov:
Burg-algorithm-of-AR
- 基于burg算法实现的AR模型功率谱计算，算法已经仿真通过，有前向预测误差及后向预测误差，非常适合与学习加深现代谱估计的理论 -Burg algorithm to achieve the AR model power spectrum calculation algorithm has been through simulation, the forward prediction error and prediction error is ideal for learning to dee
AR-model
- 包括各种AR模型现代功率谱估计方法，burg法、自相关法、协方差法等。-Modern power spectrum estimation method includes a variety of AR model
ARMASA
- 频谱估计Automatic Spectral Analysis-Matlab code-Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are
ArModel
- 基于MATLAB的AR模型的仿真，并分析功率谱，比较好。可以运行-AR model based on MATLAB simulation, and analysis of the power spectrum, the better. You can run
amp-latency-AR-test
- Burg算法功率谱估计,采样点数nfft不会影响MAX值和位置. s=data22(6,:) s=s(50:150) nfft=2048 fs=500 EEG [px1,f1]=pburg(s,6,nfft,fs) figure plot(f1,px1) title( CI——Burg算法功率谱估计 ) xlabel( Frequency(Hz) ) ylabel( Power ) IndMax=find(diff(sign(diff(p
ARmodel
- 生成一个正弦信号，使用levinson-durbin算法和最终预测阶数准则FPE估计其AR模型的阶数，并且通过解Yule-Walker方程求得AR模型的参数，进而求得该正弦信号的功率谱-Generating a sinusoidal signal, using levinson-durbin algorithm to predict the order and final order of the criteria FPE estimates its AR model and AR model
SVD_ar
- 用奇异值分解+AR的现代谱估计方法对信号的功率谱进行估计。-Using singular value decomposition AR+ modern spectral estimation method for estimating the power spectrum of the signal
LS_ar
- 用总体最小二乘法+AR的现代谱估计方法对信号的功率谱进行估计。-By total least squares method AR+ modern spectral estimation method for estimating the power spectrum of the signal.
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.
AR风振程序
- 可以实现脉动风的模拟，用于将功率谱转化为目标谱，实现于时程分析。(The simulation of pulsating wind can be realized to transform the power spectrum into the target spectrum and realize the time history analysis.)