SV

introduce the kalman filter

Experimental Study of Rough Surface visible light scattering properties

This is the file that will be converted to m unv file to allow anyone to easily understand the data in the frequency domain data.

基于PID控制，其仿真效果明显，能够达到预期的效果，希望以后能研究出更好的控制。(Based on PID control, the simulation results significantly, to achieve the desired results, I hope to be able to come up with better control.)

code for the your purpose

说明：  MCU控制BUCK-BOOST电路时电压反馈的解决-技术文章-模拟与电源技术(Solution of Voltage Feedback in MCU Controlling BUCK-BOOST Circuit-Technical Article-Analog and Power Supply Technology)

此函数完成自适应波束形成的加权算法，在给定的期望方向给输入信号进行滤波加权(Achieve this function the weighted adaptive beamforming algorithm, the expectations in a given direction to the input signal for filtering the weighted)

简单来说，卡尔曼滤波器是一个"optimal recursive data processing algorithm（最优化自回归数据处理算法）"。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。(In short, the Kalman filter is an " optimal recursive data processing algorithm (optimal autoregressive data processing algorithm)." For most of the problems to solve it, he is the best, most efficient or even useful.)

模拟地下地层的反射系数的求取方法并研究其与入射角度的关系(Simulate the subsurface reflection coefficient of the strike and to study its relationship with the incident angle )

故障信号的采样值，采样频率为100KHZ(Fault signal samples, the sampling frequency is 100KHZ)