搜索资源列表
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
ARPUFENXIYUZISHIYINGZHENGQIANGQI
- 构造一组输入为白噪声加三个频率非常接近的正弦波,其信噪比为10dB,观测长度为256。试分别用普通AR谱估计和采用功率噪声抵消算法的AR谱估计估计这组信号的频率,并比较结果。-constructed a group of white noise input plus three very close to the frequency sine wave, the signal-to-noise ratio of 10dB. Observing length of 256. Were used t
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:
wentaicd
- 1. 工程检测信号AR模型的建模及参数谱分析 1.1 测试数据的采集、检验和预处理 1.2 模型参数的递推估计快速算法---Lenvinson算法 1.3 AR模型阶次的确定 1.4 AR参数谱的计算 -1. Engineering detection signal AR model modeling and parameters spectrum analysis 1.1 test data collection, the inspection and preproce
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_burg
- 经典谱估计AR模型的BURG算法 可与自带函数PBURG对比-The classic AR model spectrum estimation BURG algorithm and comes with a function PBURG contrast
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
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
Modern-methods-of-spectrum-analysis
- 噪声中正弦信号的现代法频谱分析,自己写的matlab程序一份,包括现代法谱估计中AR模型的自相关法,Burg法,协方差法,改进的协方差法四种估计算法-Modern methods of spectrum analysis
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.)