Neuralnetwork

F16气动数据，开环仿真，包括操作性及稳定性数据，前缘襟翼控制参数等。(F16 aerodynamic data, the open-loop simulation, including operational and reliability data, leading-edge flap control parameters.)

iota sourse code for pulse shaping

用MATLAB编写的TLS-ESPRIT算法，算法原理可参考张贤达版的现代信号处理，绝对可运行，程序配合书非常容易理解，而且稍微改改就可以变为基本的ESPRIT算法。(Written by MATLAB TLS-ESPRIT algorithm, the algorithm can refer to Zhang XD version of the principle of modern signal processing, absolutely can run the program with the book is very easy to understand, and can become a little change to change the basic ESPRIT algorithm.)

说明：  光学中杨氏双缝干涉仿真程序。可以是准单色光和单色光。(optics Young's double slit interference simulation program. It was a quasi-monochromatic light and monochromatic light.)

说明：  粒子群优化算法 相信有不少人知道粒子群优化吧。算法简单而且寻优的速度快。我用matlab写了PSO的实现程序，相信对对这方面感兴趣的兄弟有用。为了比较直观的演示PSO的算法，用了2维的。 (PSO algorithm believe a lot of people know it PSO. A simple algorithm optimization and faster. I used Matlab was the PSO procedures, I believe this area of interest to the brothers useful. In order to compare the visual presentation of the PSO algorithm, with a two-dimensional.)

arduino_AFMotor库，用于控制连在ARDUINO上的电机(This is the August 12, 2009 Adafruit Motor shield firmware with basic Microstepping support. Works with all Arduinos and the Mega For more information on the shield, please visit http://www.ladyada.net/make/mshield/ To install, click DOWNLOAD SOURCE in the top right corner, and see our tutorial at http://www.ladyada.net/library/arduino/libraries.html on Arduino Library installation)

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.)

calipso二级气溶胶AOD月平均廓线(Monthly Average Profile of Calipso Secondary Aerosol AOD)

说明：  cbf，mvdr等波束形成仿真程序，最终达到精确定位的效果(cbf,mvdr,Beamforming technology,The simulation program,To achieve the effect of positioning.)

Finding the center of Omni-directional image