搜索资源列表
canshubainshi
- 广义最小二乘的算法结构，广义最小二乘递推的每一步用两步递推算法，先把噪声参数和模型参数均给个初值，然后第一步先假设噪声参数已知，用最小二乘估计出模型参数，第二步再用最新的模型参数来估计噪声参数，如此循环直到辨识精度达到指定要求或者可用数据用完为止-Generalized least squares algorithm structure, generalized recursive least squares every step of the two-step recursive algori
ppnew
- 极大似然估计是一种很有用的办法，可以用MATLAB来实现，事实上，极大似然与最小二乘估计结果是相同的-MLE is a very useful way, you can use MATLAB to achieve, in fact, maximum likelihood and least squares estimation results are the same
bianshi
- 基本最小二乘估计递推算法matlab实现及绘图，以及生成M序列-Basic recursive least squares estimation algorithm and M series
RLS
- 用matlab实现RLS滤波，最小二乘估计算法是以最小误差平方和为优化目标的。-RLS filter using matlab, least squares estimation algorithm is the smallest sum of squared errors for the optimization objectives.
-recursive-
- 天线组阵中相位差的递推最小二乘估计与滤波-Phase array antenna group recursive least squares estimation and filtering
IHT
- 压缩感知的贪婪迭代算法，算法使用最小二乘估计来重构信号-Greedy iterative algorithm compressed sensing algorithms to reconstruct the signal using a least squares estimation
123
- 有关回归分析的所有算法，包括详细的原理介绍及具体的matlab代码，很适合初学者使用，及有关工程人员参考；其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等-All algorithms related to regression analysis, including a detailed descr iption and the specific principles matlab code, it is suitable for b
ls_ar
- 自编函数实现AR模型的最小二乘估计-AR model to achieve self-function least squares estimation
auxiliary-variables
- 用辅助变量法递推算法估计模型的参数.辅助变量估计是在模型误差为相关噪声的情况下通过引入辅助变量矩阵对线性最小二乘估计的一种改进。 -Recursive algorithm to estimate model parameters using instrumental variables method. Auxiliary variables is estimated that in the case of the model error is related to an improveme
evaluation
- 估计理论，关于目标估计的基本知识,常用的最小二乘估计，方差估计等-evaluation theroy
RFID
- MIMO无线系统中信道的最小二乘估计，用于学习和交流-MIMO wireless channels in least squares estimation system for learning and communication
20140827
- 最小二乘估计算法，老师的讲义，很有用，很详细-The least squares estimation algorithm
state-space
- 结合状态空间和最小二乘估计算法对动态系统未知参数的辨识。-Combined state and least squares parameter estimation algorithms for dynamic systems
The-least-squares-estimate
- 1线性最小二乘估计 2线性最小二乘加权估计 3线性最小二乘递推估计 4单参量的线性最小二乘估计 -The least squares estimate
LabForRLSFtext
- 系统辨识与自适应控制递推最小二乘估计（RLS）及模型阶次辨识（F-Test）-System identification and adaptive recursive least square estimation (RLS) and model order identification (F-Test) for system identification and adaptive control
LMS
- 最小二乘估计算法实现，经验证，结果正确，推荐使用-The least square method
rls
- RLS算法的matlab实现，该程序使用最小二乘估计法估计一个典型系统。-RLS algorithm matlab implementation, it is estimated that a typical system using a least squares estimation procedure.
ML
- 最大似然法（Maximum Likelihood，ML）也称为最大概似估计，也叫极大似然估计，是一种具有理论性的点估计法，此方法的基本思想是：当从模型总体随机抽取n组样本观测值后，最合理的参数估计量应该使得从模型中抽取该n组样本观测值的概率最大，而不是像最小二乘估计法旨在得到使得模型能最好地拟合样本数据的参数估计量。-Maximum likelihood method (Maximum Likelihood, ML), also known as maximum likelihood estim
fangzhen3
- 基于训练序列的MIMO信道最小二乘估计算法蒙特卡洛仿真-Training sequence based MIMO channel estimation algorithms least squares Monte Carlo simulation
FFRLS
- 开环系统参数辨识，带遗忘因子的递推最小二乘估计法（FFRLS)，系统为单入单出的CAR(带控制量的自回归模型）模型,三阶系统-Open-loop system parameter identification, recursive least squares estimation method with forgetting factor (FFRLS), SISO system of CAR (with a controlled amount of autoregressive model)