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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
sin102
- 用MATLAB编写的一个多频正弦信号的AR模型功率谱估计程序 用的是LEVISION算法 阶数判定使用的是最优算法 并与库函数进行对比-MATLAB prepared a multi-frequency sinusoidal signals in the AR model power spectrum estimation procedures using the electron ISION algorithm order determined using the optimal algori
p506
- 现代功率谱估计中的参数估计AR模型 比经典谱估计有更好的分辨率-modern power spectrum estimation of the AR model parameter estimation than the classical spectrum estimates have a better resolution
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
psd_eatmation
- 实现信号的功率谱估计，AR,MUSIC,FFT,周期图法-Achieve signal power spectrum estimation, AR, MUSIC, FFT, periodogram
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.
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.)