SCaTDE

dc motor speed control using fuzzy logic

puzzle solver with gui

人体检测，人体检测，人体检测，人体检测，人体检测，(humanbody detection)

Intel MIC Platform Software Stack (MPSS).

arduino tool box for simulation of navigation system

This program uses the timers to trigger EDMA events. These events in turn * trigger linked EDMA parameter tables to fill a ping pong buffer structure. * Set a breakpoint on swiProcessFunc(int arg). Then open two memory windows. * Use ping as the address for one memory window and pong for the other. Then * run the application. You ll note that the program bounces between the ping * and pong buffers filling each with a value that comes from the source. The * source in this case is the SDRAM timer control register and it simulates * input data(This program uses the timers to trigger EDMA events. These events in turn* trigger linked EDMA parameter tables to fill a ping pong buffer structure.* Set a breakpoint on swiProcessFunc (int arg). Then open two memory windows.* Use ping as the address for one memory window and pong for the other. Then* run the application. You' ll note that the program bounces between the ping* and pong buffers filling each with a value that comes from the source. The* source in this case is the SDRAM timer control register and it simulates* input data)

说明：  图像灰度变换、图像的锐化、⑴直方图均衡化（histogram equalization），⑵直方图匹配（histogram matching），⑶邻域平均（neighborhood averaging），⑷局域增强（local enhancement）， ⑸中值滤波（median filtering）。源码(Image gray-scale transformation, image sharpening, ⑴ histogram equalization (histogram equalization), ⑵ histogram matching (histogram matching), ⑶ average neighborhood (neighborhood averaging), ⑷ enhanced local (local enhancement), ⑸ Value filtering (median filtering). Source)

doa估计算法，MATLAB实现，比较简洁，可以参考一下(doa estimation algorithm, MATLAB implementation, more concise, you can refer to)

matlab中求解一维非线性方程中孤子的演化(matlab for solving the sub-one-dimensional nonlinear evolution side Cheng Zhonggu)

MATLAB function which creates a black and white version of a grayscale image by specifying a single threshold value pixels below this value become black, and above this value they are white. Usage: