搜索资源列表
OFDM2
- OFDM信道估计的简单仿真程序，使用最小二乘方法对OFDM信道进行估计。-OFDM channel estimation in a simple simulation program, using the least-squares method OFDM channel estimation.
LMS
- 用总体最小二乘算法进行ARMA功率谱估计，本文提供一个估计谱的实例。-Total least squares algorithms using ARMA power spectrum is estimated that this article provide an example of the estimated spectrum.
tls
- 目标跟踪中的全局最小二乘算法，通过做多次蒙德卡诺试验获得其二阶距性能估计-Target tracking in the overall least-squares algorithm, through so many tests蒙德卡诺performance from its second-order estimates
MatFunC
- 本算法包括最大似然估计，最小二乘估计，基于EM算法的多种混合高斯分布估计，EM算法测试实例，绘制每种分布的plot函数。非常有参考价值！-The algorithm including maximum likelihood estimation, least squares estimation, based on the the many EM algorithm mixed Gaussian distribution is estimated, the EM algorithm test c
LS_CE
- 无线通信的信道估计中的最小二乘信道估计法的Matlab实现函数-Matlab realize the function of the wireless communication channel estimation least squares channel estimation method
Superimposed-training
- 叠加训练序列的最小二乘信道估计与最小均方误差均衡，QPSK调制，做了4次迭代估计的性能对比。-superimposed training, least squares (LS) channel estimation, MMSE equalizer, QPSK modulation, 4 times iteration.
tracking_target
- 目标跟踪：对目标的运动建立较为简单的线性模型，并用最小二乘估计对其参量进行估计，从而推出目标轨迹。-Target-Tracking：the simulation of tracking target by linear least squares estimates on the Matlab platform.
kriging
- 基于一般最小二乘算法的随机插值技术，用方差图作为权重函数；这一技术可被应用于任何需要用点数据估计其在地表上分布的现象。-Random interpolation technology based on the general least squares algorithm, using variogram as the weighting function This technology can be applied to any need to use some data to estima
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
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.
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)
least_square
- 基于最小二乘估计高程，奇异值分解，秩亏情况适用(calculate elevation by least square algorithm)
ridge regression1
- 岭回归(英文名：ridge regression, Tikhonov regularization)是一种专用于共线性数据分析的有偏估计回归方法，实质上是一种改良的最小二乘估计法，通过放弃最小二乘法的无偏性，以损失部分信息、降低精度为代价获得回归系数更为符合实际、更可靠的回归方法，对病态数据的拟合要强于最小二乘法。 总之，本文档是岭回归的R语言实现代码，主要用于解决当模型中出现多重共线性问题，尤其是当你所有的解释变量都很重要，又无法通过其他检验来删除时，岭回归是一个很好的解决办法。(Ridge
table
- 好用的,系统辨识中,递推最小二乘估计RLS是辨识模型阶次的一个重要的算法,(Easy-to-use, system identification, the recursive least squares estimate RLS times of order identification model is an important part of the algorithm,)
扫描发射器的被动定位
- 研究了扫描速度和扫描发射极位置的联合估计问题。该方法利用天线主梁的均匀旋转运动，将其扫过若干个独立的接收器。基于非线性最小二乘估计(NLS)，建立了一个联合估计器。通过几个仿真实例，比较了所提出的估计量与cramer- rao下界(CRLB)的性能。(The joint estimation of scanning velocity and scanning emitter location is studied. The method USES the uniform rotating mot
estimation
- 使用最小二乘估计电力系统状态，可改变系统节点进行仿真(Using least squares to estimate the state of the power system, the system node can be changed for simulation)
程序代码WLS
- 加权最小二乘电网状态估计1111113gfvcndnfghhgk(Weighted least squares power system state estimation 1111113gfvcndnfghhgk)
非线性最小二乘问题
- 以误差的平方和最小为准则来估计非线性静态模型参数的一种参数估计方法。设非线性系统的模型，常用于传感器参数设定。(A parameter estimation method for estimating nonlinear static model parameters based on the minimum sum of squared errors. A model of a nonlinear system is often used for sensor parameter settin
predict
- 基于高斯核函数对数据进行偏最小二乘估计，并进行回归分析(Partial Least Squares Estimation of Data Based on Gauss Kernel Function)