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状态估计代码
- 基于最小二乘法的状态估计 c++程序
TLSesprit
- 总体最小二乘法的ESPRIT方法，这种算法的估计精度明显好于原来的ESPRIT算法。可以很好的估计出信号的角度。仿真中用的是均匀阵列。-Total least squares method of the ESPRIT method, the algorithm of the estimation accuracy significantly better than the original ESPRIT algorithm. Can be a very good signal to estima
SignalProcessing-ARMA-LS
- 《现代信号处理》中关于利用最小二乘法估计ARMA模型的参数，并进行谐波恢复的仿真程序-err
LeastSquareP2
- 基于普通最小二乘法的ARMA模型谐波频率估计 -Ordinary least squares method based on the ARMA model of harmonic frequency estimation
SystemParameterIdentification
- 用广义最小二乘法辨识气动实验系统的参数，并采用最终误差预报估计模型阶次-Generalized Least Squares Identification of aerodynamic parameters of experimental system, using the final prediction error of the estimated model order
1191286762Tx-2Rx-STBC-MIMO
- 两发两收编码，实现信道估计的算法，最小二乘法的信道估计-STBC
testIEEE14
- 状态估计在IEEE14网络上的加权最小二乘法计算-state estimation for IEEE14 using Weighted Least Squares method
whytls
- 加有高斯白噪声的两个正弦信号的的观测数据，分别用最小二乘法和总体最小二乘法估计其功率谱，并对两种方法的谱分析进行了比较-Plus a Gaussian white noise of the two sinusoidal signals of observational data, were used least squares and total least squares method to estimate the power spectrum, and spectral analysis
SVDTLS
- SVDTLS仿真 已知参数下用最小二乘法估计观测数据的ARMA模型的AR参数-SVDTLS simulation parameters are known observational data with least square method to estimate the AR parameters of ARMA model
chennl
- 最全的信道估计仿真，包括最小二乘法，最小均方误差法，变换域法。-The most complete simulation of channel estimation, including least squares, minimum mean square error method, transform domain methods.
svdp
- 特征子间分析在Matlab中的仿真，以及最小二乘法和SVD最小二乘法估计在Matlab仿真上的实现-Characteristics of children between the simulation in Matlab, and the least squares method and SVD least squares method to estimate the realization of simulation in Matlab
THEAPPROXIMATIONPOWEROFMOVINGLEAS
- 移动最小二乘法效果的估计，很好的内容，可以参考-Moving Least Squares estimates of the effects, good content, you can refer to
VB_RELS
- 用Vb实现的递推最小二乘法估计参数，有可视界面-Vb to achieve with the estimated parameters of recursive least squares method, a visual interface
SVDTLS
- 用Matlab仿真实现最小二乘法和总体最小二乘法估计 假设仿真的观测数据 产生，其中 为0均值， 单位方差的高斯白噪声，取n=1,2,....128。 试用TLS，取AR阶数为4，估计AR参数 和正弦波频率；再用SVD-TLS ，估计AR参数 和正弦波频率。 (1)、在仿真中，AR阶数取为4和6。 (2)、执行SVD-TCS时，AR未知。仿真运行至少二十次。 -Simulation using Matlab and the overall least squares leas
3
- 用户自定义数据点，所给函数能用最小二乘法拟合数据，并给出估计得均方误差(User defined data points, the given function can be fitted by least squares method, and the estimated mean square error is given)
Least squares identification
- 对四阶系统的最小二乘辨识； 其根本思想能表现为新的估计值 是在老的估计值 的基础上修正而得的(Least squares identification of fourth order system; Its fundamental idea can be expressed as a new estimate is based on the old estimate based on the revised)
reverseRLS
- 使用逆推最小二乘法预测估计参数值，适用于matlab平台。(The inverse push least square method is used to predict the estimated parameter value, which is suitable for the MATLAB platform.)
ofdm信道估计
- 正交频分复用的信道估算算法，利用最小二乘法和最小均方误差方法(channel estimate use LS and MMSE)
matlab-WLS
- 电力系统最小二乘法，状态估计，内涵14和30节点算例(Power System Least Square Method, State Estimation, Connotation 14 and 30 Node Examples)
SVD_TLS
- 根据张贤达版《现代信号处理》的SVD-TLS算法，基于奇异值分解的总体最小二乘法, SVD-TLS是一个在现代谱估计中一个基础的算法(SVD-TLS, Spectral estimation)