Raptor

根据读取到的已知控制点的坐标，计算在该区域内的平面转换五参数，该五参数不同于当前使用较多的四参数(According to the known control point to read the coordinates to calculate the plane in the region converted five parameters, the five parameters to use more different from the current four-parameter)

差分幅度相移键控调制解调系统仿真Differential amplitude and phase shift keying modulation and demodulation system simulation(Differential amplitude and phase shift keying modulation and demodulation system simulation the Differential amplitude and phase the shift keying modulation and demodulation system simulation)

这是通过hfss软件设计915m超高频偶极子天线工程 此设计只通过仿真验证 没有制作实物验证(It is designed to 915m UHF dipole antenna hfss software engineering through the design just does not make physical verification by simulation)

AC3toMP3 GUI. GUI application for AC3ToMP3.

A、分析API函数原理 B、自写API函数 C、SYSENTER指令 D、硬编码_emit E、模拟FindWindow函数 (Analysis of A, API function principle B, write API function C, SYSENTER instruction D, hard coded _emit E, simulating FindWindow function )

this is average filter .raw and .bmp file converter.

EBCGLView.GLData调用 On Error GoTo HERROR Dim obj As EBCGLView.GLData Dim retObj As Object(EBCGLView.GLData call On Error GoTo HERROR Dim obj As EBCGLView.GLData Dim retObj As Object)

labview 中通过调用MATLAB节点来对示波器数据进行小波去噪并显示(By calling MATLAB in labview nodes to wavelet denoising and display the data of the oscilloscope)

MATLAB SIMULINK 改进型SIMITH预估控制器(MATLAB SIMULINK improved SIMITH forecast controller)

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)