搜索资源列表
xytlc
- 尤利-沃克方法 AR模型自相关算法 确定模型阶数、参数、误差 频谱估计 用Matlab编程实现-Yuri- Walker AR model method model order autocorrelation algorithm to determine the number of parameters, the error spectrum estimation using Matlab programming
xytld
- AR模型功率谱估计 自相关算法 burg算法 用Matlab编程仿真实现-AR model autocorrelation power spectrum estimation algorithm burg algorithm simulation using Matlab programming
AF
- AR模型预测，matlab环境下用AR谱估计算法实现AR模型谱估计-AR model prediction, matlab environment AR spectral estimation algorithm AR model spectrum estimation
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
source
- 输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用最大熵估计 法估计此信号的AR模型及其功率谱，并分析结 果-The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance
PSD
- 求功率谱估计常用的几种方法，包括周期图法，Welch 法，和AR模型法。-For power spectrum estimation commonly used in several ways, including periodogram, Welch law, and the AR model.
armx
- 此函数中详细介绍了如何现代功率谱估计法中的AR模型来妒忌信号的功率谱；-This function is described in detail how modern power spectrum estimation of AR model to envy the power spectrum of the signal
6
- ex6_1 ～ ex6_3二项分布的随机数据的产生 ex6_4 ～ ex6_6通用函数计算概率密度函数值 ex6_7 ～ ex6_20常见分布的密度函数 ex6_21 ～ ex6_33随机变量的数字特征 ex6_34 采用periodogram函数来计算功率谱 ex6_35 利用FFT直接法计算上面噪声信号的功率谱 ex6_36 利用间接法重新计算上例中噪声信号的功率谱 ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较 ex6_38 在置信度为0
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
matlab--jiyu-BURG
- 功率谱估计程序是基于参数模型下的频谱估计，且在AR模型下，使用Burg算法-The power spectrum estimation procedure
ARmodel
- 利用时间序列处理方法AR模型进行信号谱估计，相对于传统的FFT的方法，分辨率更好，峰值更尖锐-Processing method using time series AR model spectrum estimation signal, relative to traditional methods of FFT resolution better, sharper peaks
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
Airc
- 对一个时间序列进行AR谱估计，可以应用于经济领域。-Do a AR spectrum estimation to time series, which can be applied in economics.
AR_Levinson_Durbin
- 画出AR谱，使用LevinsonDurbin算法，可以直接运行-AR Spectrum using LevinsonDurbin
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_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
ARestimation
- AR过程的线性建模与功率谱估计,带有详细说明以及matlab仿真代码。-The linear AR process modeling and power spectrum estimation
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