filter_gaussian

用matlab完成高斯回归过程，运用hyperparameter对covriance进行选择(Matlab complete regression with Gaussian process, the use of hyperparameter selection covriance)

UKFfunction [x,P]=ukf(fstate,x,P,hmeas,z,Q,R) UKF Unscented Kalman Filter for nonlinear dynamic systems [x, P] = ukf(f,x,P,h,z,Q,R) returns state estimate, x and state covariance, P

It is important to detect the edges of the image.It is not better than canny.

移相全桥控制程序，带pi调节，闭环控制，基于lcl结构的拓扑结构(Phase-shifted full-bridge control program, with pi regulation, closed-loop control, structure-based topology lcl)

只要检测到反电势过零点就可以得到转子的位置信号，就可以实现无刷直流电机的无位置传感器控制。(As long as the position of the rotor is detected by detecting the zero-crossing of the back-EM potential, the position sensorless control of the brushless DC motor can be realized.)

说明：  半桥逆变电路的实现，采用matlab，simulink实现，把直流电逆变为交流电。(Half bridge inverter)

MATLAB集中衰落 信道学习资料一份，(Study MATLAB fading channel )

matlab连接SQL数据库123456789(Matlab to connect SQL database)

matlab经典绘图案例。包括三维曲面z=x^2+y^2的动画、正弦曲线的动画、切片图、向量图、三维彗星图、三角形网格图、三角形表面图、球面、等值线图、三维瀑布图、三维火柴杆图、三维散点图、柱形图、三维条形图、三维饼图、带形图、曲线图、高斯分布函数的曲面图、高斯分布函数的网格图、5阶高斯分布矩阵、梯度场矢量图、罗盘图、玫瑰花图、羽列图、数据向量的单轴对数坐标图、矩阵的条形图 矩阵的面积图、二维饼图、散点图、误差图、火柴杆图和碗状曲面图等等。 (Drawing matlab classic case. Including three-dimensional surface z = x ^ 2+ y ^ 2 animation, animated sine curve, slices, vector graphics, three-dimensional map comet, triangular grid map, triangular surface plots, spherical, contour, 3D waterfall, three-dimensional grid graph matchstick figure, three-dimensional scatter plot, bar chart, the three-dimensional bar charts, three-dimensional pie charts, strip charts, graphs, surface, Gaussian distribution function, the Gaussian distribution function, fifth-order Gaussian distribution matrix gradient vector field, compass, rose diagram, feather column chart, the data vector uniaxial logarithmic graph, bar graph matrix Area chart matrix, two-dimensional pie charts, scatter plots, error plots, matchstick figure and bowl surface map and so on.)

Here the matlab code source for noisy speech signal and their noise tracker based minimum mean square error . it s good for learning