Photovoltaic

常微分方程求解过程！主要是使用matlab环境编译的！(ordinary differential equation solving process! Mainly use Matlab environment compiler!)

this is the code for fast fourier transform. there are also code for ifft,invfft......

提出一种两阶段的奇异点检测方法。将指纹图像分块，求出各块的方向构成块方向图，并在块方向图的基础上利用邻域方向的分 布分析结合改进的Poincare Index方法来确定奇异点所在的候选区域，对候选区域中的像素再通过计算局部方向变化率来确定奇异点的精 确位置。将此方法用于对FVC2004 DB1_A指纹数据库的图像，实验结果表明这种方法对指纹图像中的噪声有很好的鲁棒性，并且计算简 单快速，易于实现。 (A two-phase singularity detection. Fingerprint image block, calculate the direction of each block constitute a block pattern, and pattern in the block based on the use of the distribution of the direction of the neighborhood together with the improved Poincare Index method to determine the singular point where the candidate regions of the candidate region of pixels re-calculated to determine the rate of change of local direction of the precise location of singular points. This method is used to FVC2004 DB1_A fingerprint database of images, experiments show that this method of noise on the fingerprint image has good robustness and computing simple and fast, easy to implement.)

辅助粒子滤波matlab代码，包括和粒子滤波的比较(Auxiliary particle filter matlab code, including comparison of the particle filter)

利用matlab GUI实现的串口编程例子，实现了图像的灰度化并进一步用于视频监视控，最大信噪比的独立分量分析算法。( Use serial programming examples matlab GUI implementation, Achieve a grayscale image and further control for video surveillance, SNR largest independent component analysis algorithm.)

I found this paper regarding to LPR interesting and I would like to share it.

1个matlab代码为机器人提供PID控制器。只要robot.m运行它。cinematic.m中描述机器人的电影 (A matlab code for the robot to provide PID controller. Robot.m long run it. cinematic.m description in robot movie )

matlab版本的OLELM算法（在线极速序列机器学习算法），能进行模型训练和函数拟合。(matlab version OLELM algorithm (line speed serial machine learning algorithms), capable of model training and function fitting.)

遗传算法-优化算法-模板-可以供学习参考(Genetic algorithms- Optimization- Template)

说明：  商人过河的问题，三个商人各带一个仆人、、、(Merchants across the river mathematical modeling problem is a classic problem)