load_image

Visual C++和matlab联合编程的详细代码(Visual C++ And joint programming in detail matlab code)

非常经典的基于模糊信息处理的数据融合方法研究.用MATLAB 实现的。 请大家好好学习(Very classical information processing based on fuzzy data fusion method. Using MATLAB realization. Please study hard)

finite difference scheme for the thin plate equation with loss

单相信号的锁相功能实现（PLL），自动跟踪单相电网信号。(Single-phase signalof thelock-infunctions to achieve(PLL),automatic trackingof single-phasepowersignals.)

k均值归类方法 可用于训练初始的混合高斯参数(k mean cluster for initialization of GMM)

Finite Difference Programming for Matlab in 2D (Poisuille flow)

gives the bldc motor simulation with the dtc control.

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

Linear Assignment Problem solver for Matlab

用共轭梯度算法——FR算法求解无约束最优化问题(Conjugate gradient algorithm- FR algorithm for solving unconstrained optimization problems)