fgf

实现快速傅里叶变换的控制台程序，对用户输入的数组做变换。(Fast Fourier transform console program, to an array of user input to make change.)

光伏并网系统中的双逆变器拓扑结构及其控制策略研究(dual-inverter topology and control strategy for Grid-connected PV application )

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.)

雷达系统的理论和设计一直占主导地位 概率论与统计，信息理论，信号处理和控制 然而，类似的编码译码的属性之间存在的视觉 BIAM和雷达已经黯然忽视的m所有雷达系统(For over six decades, the theory and design of radar systems have been dominated by probability theory and statistics, information theory, signal processing and control However, the similar encoding-decoding property that exists between the visual biam and radar has been sadly overlooked m all radar systems)

这个是关于matlab仿真OFDM的完整程序，可以很好的掌握哦对于初学者(the study of OFDM using matlab)

Tutorial One (You should run it in the Command Window)

WiMAX tes for channel with two Q and CDF function

说明：  lingo优化程序关于储油罐的最优体积，希望有用(lingo optimization program on the optimal size of the storage tanks, and seek to help)

压缩感知，对人脸进行跟踪的程序,今年欧洲图像会议的程序(Compressive Sensing，face track ,program )

hierarchical Mesh Segmentation based on Fitting Primitives 配套源码(code for hierarchical Mesh Segmentation based on Fitting Primitives)