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最小二乘算法源程序代码
- 用于系统辨识的参数估计的最小二乘算法源程序代码
递推最小二乘估计算法
- 对于输入、输出数据较多的情况下，一次性完成的最小二乘估计算法计算量很大，速度降低而且有可能出现病态矩阵的情况，递推的最小二乘估计算法解决了上述问题。
增广最小二乘估计
- 如果噪声e(k)为有色噪声时，采用最小二乘辨识系统参数为有偏估计，为改善噪声e(k)为有色噪声模型的系统参数估计的统计特性，提出一种增广矩阵的方法
广义最小二乘法
- 广义最小二乘法也是为了改善噪声e(k)为有色噪声时，采用最小二乘和加权最小二乘辨识系统参数为有偏估计的问题。其基本思想是：引入一个所谓白化滤波器，把相关噪声e(k)转化为白噪声v(k)，从而达到应用最小二乘法无偏估计的目的。
channelestmation
- 本程序比较了LS(最小二乘）和最小均方误差准侧下OFDM信道估计的误码率，给出了LS及MESE实现的源程序，是信道估计初学者的理想参考资料-This procedure compares the LS (least squares) and minimum mean square error of quasi-lateral channel estimation of OFDM bit error rate, given the realization of the LS and the MES
levmar-2.3
- 最新的Levenberg Marquardt 算法。用于非线性最小二乘问题的参数估计和优化！-Latest Levenberg Marquardt algorithm. Nonlinear least squares problem for parameter estimation and optimization!
用最小二乘法和svd-tls法对arma过程进行功率谱估计并比较结果
- 分别用最小二乘法和svd-tls法对arma过程进行功率谱估计并比较结果。包含实验目的，步骤，程序，结果，分析。-Least square method, respectively, and svd-tls on arma-power spectrum estimation process and the results of the comparison. Contains experimental purposes, steps, procedures, results, analysis.
ls-ar
- 自编函数实现AR模型的最小二乘估计（AR阶数=4）-AR model of self-function of least squares estimation (AR order = 4)
SVD_TLS
- 使用自编函数基于奇异值分解总体最小二乘法（svd-tls）实现AR模型谱估计 -The use of self-functions in general based on singular value decomposition least square method (svd-tls) to achieve AR model spectrum estimation
m12_3
- 为了改善噪声e(k)为有色噪声模型的系统参数估计的统计特性，提出了一种增广矩阵的方法，称为增广最小二乘算法，MATLAB实现范例-In order to improve the noise e (k) for the colored noise model of the system parameters estimated statistical characteristics, an Augmented Matrix method, called Augmented Least Square
LMS
- 简单的最小二乘逼近算法，用于系统辨识，方便修改噪声参数和系统参数，为系统辨识和仿真作业的源代码。-Simple least-squares approximation algorithm for system identification to facilitate the modification of system parameters and noise parameters for the system identification and simulation of the sourc
OSM
- 最小二乘估计，中位数估计，M估计 测量数据处理方面的一个简单的例子-Least squares estimation, the median estimate, M is estimated measurement data processing, a simple example
ModelIdentification
- 关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。-On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples
d9000mpi3
- 对互谱法被动测距的原理及算法各个环节进行仿真验证：加权最小二乘估计中权系数的选取；相关窗长度的选取；各频段综合方法等等。最后实现了对9000m—15000m距离的测距-Cross-spectral method for passive ranging all aspects of theory and algorithms for simulation: weighted least squares estimation of the right of the selection coeffic
Optimally-weighted
- 最优加权最小二乘估计与线性无偏最小方差估计性能比较-Optimally weighted least squares and linear unbiased minimum variance estimation performance comparison
InitialAlignment
- 采用最小二乘估计和Kalman滤波估计方法，提出、设计实现了一个有效实用的FOG 捷联式惯导系统（SINS）初始对准方法。-the least twin multiplication estimatin The Kalman filter estimation are adopted, and a FOG SINS’s initial alignment method is put foreword and designed.
多级最小二乘
- 多级最小二乘参数估计算法，能够估计ARX结构的模型的参数(multi-level least square parameter estimation algorithm, suitable for estimating the parameters of an ARX model)
suanfa
- 最小二乘估计参数,最小二递推乘估计参数，指数最小二乘递推估计参数(zui xiao er cheng gu ji)
谐波频率估计的总体最小二乘方法TLS_ESPRIT
- 利用总体最小二乘法谐波检测，检测结果快速准确(Harmonic detection using the total least square method and the test results are fast and accurate)
目标定位
- 研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory