gaussian_model

快速傅里叶变换的C实现，采用新的倒序算法，程序代码只有一百多行，就要以实现千个采样点的计算(Fast Fourier Transform of C realized, the introduction of a new reverse algorithm, program code, only more than 100 lines, it is necessary to achieve the 1000 sampling points calculation)

针对图像秘密共享前需要像素置乱的问题，基于(t, n)门限多重秘密共享思想，提出一种免置乱的图像秘密共享方案，以第n+1人的秘密份额作为因子参与秘密分割与重构，加大相邻像素之间的差距(Based on (t, n) threshold multiple secret sharing ideas, and put forward a kind of scrambling image from secret sharing scheme to n+ 1 people share the secret as factors involved in secret segmentation and reconstruction, increase the gap between adjacent pixels)

一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取，并验证原始信号的正确性。Trigger使用M-code实现，并且使用S-function封装到Simulink中。(An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing and signal peak extraction of the original signal, and verify the correctness of the original signal. Trigger M-code implementation, and encapsulated in the Simulink S-function.)

很好的倒频谱计算程序，可立即生成图形，方便读者理解运用。(very good。)

matlab图像分割实例，基于Lab空间的色彩分，割调用库函数实现，带注释，简单易懂；(matlab example of image segmentation, based on Lab color space points, call the library functions achieve cutting, with comments, easy to understand )

下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。(Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times.)

织物疵点检测，输入一副织物图片，先除去图片上的噪声，在经过形态学操作，检测出织物上的疵点(Fabric defect detection, enter a pair of fabric pictures, first remove the noise the picture, after morphological operations, detect defects on the fabric)

mean shift功能演示，实现图像分割，具体请看效果(the demonstration of the mean shift algorithm)

Opencv处理图像，用ostu法实现图像的二值化(Opencv image processing, using ostu method to achieve image binarization)

视频目标跟踪算法,用meanshift方法对目标进行跟踪(meanshift algorithm tracking)