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work.rar
- 上载的内容为随机信号处理的作业,具体是:其中W(t)为均值为零，方差为3的白噪声。 （1）产生若干组500个点长随机序列。 （2）找一个ARMA模型与（1）中的500个点匹配。 （3）在产生一个500个点长的随机序列校正。 ,Upload the contents of random signal processing operations, specifically: one of W (t) for the mean zero, variance of white noise for
SVD_TLS
- 一种用总体最小二乘法来估计ARMA模型的实例，在MATLAB中进行了仿真，附有MATLAB仿真程序-A total least squares method to estimate the ARMA model examples were carried out in the MATLAB simulation, with a MATLAB simulation program
TLS
- 基于最小二乘法和奇异值-总体最小二乘法(SVD-TLS)的 ARMA模型谐波频率估计 -Based on the least square method and singular value- the overall least squares (SVD-TLS) of the ARMA model of harmonic frequency estimation
ARMAcanshuguji
- 利用先后估计法对arma模型进行参数估计-最小二乘法得到的AR部分的估计参数-arma model parameter estimation
45665994ARMA
- matlab时间序列信号处理，自回归滑动平均模型-ARMA model
5956452ARMAandARandMA
- 利用ARMA、AR、MA模型，以及周期图等进行系统参数估计-The use of ARMA, AR, MA model, as well as the periodogram estimation of system parameters such as
yuping
- 分析了噪声背景下实谐波过程ARMA模型系数之间的对称性,并以此为约束条件加入ARMA谱估计方法的求解过程中,从而提出了一种改进的正弦信号频率估计方法.理论分析与计算机仿真表明,对于低信噪比条件下的正弦信号参量估计,这一算法的精度与稳定性都优于仅使用总体最小二乘法(SVD-TLS)的ARMA谱估计方法.-Analysis of real harmonic process noise background symmetry between ARMA model coefficients, and a
arma_model_implemented_by_c_langguage
- 用C++实现的ARMA模型描述，较详细。-Implemented using C++ ARMA model described in detail.
arma_modeling_by_cholesky_Decomposition_and_spectr
- Cholesky分解求ARMA模型的参数并作谱估计-Cholesky decomposition model of parameters and requirements for ARMA Spectral Estimation
MARMACH
- 估计ARMA(自回归滑动平均)模型参数及其功率谱密度（PSD）-Estimated ARMA (ARMA) model parameters and power spectral density (PSD)
MARMACH
- 用Cholesky分解求ARMA模型的参数并作谱估计。-Using Cholesky decomposition for ARMA model parameters and for spectral estimation.