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马尔可夫随机场去噪的例子及其Kernel PCA(Markov Random Field Denoising examples and Kernel PCA)

Frequency Domain Method to calculate the Difference of Arrival of Sound.

示例用法的以下的统计工具箱函数 LinearModel NonLinearModel GeneralizedLinearModel (Example code illustrating the use of the following Statistics Toolbox functions LinearModel NonLinearModel GeneralizedLinearModel)

基于Fisher准则线性分类器设计 进一步了解分类器的设计概念，能够根据自己的设计对线性分类器有更深刻地认识，理解Fisher准则方法确定最佳线性分界面方法的原理 (Fisher linear classification criteria for classification designed to further understanding of the design concept According to the design of linear classification for a more profound understanding, Fisher understood the criteria to determine the best method of linear interface of the theory)

基于经典的优化算法--模拟退火算法的旅行商问题寻优实现，该算法比较经典，可用于后续一些性能对比分析(The traveling salesman problem-- the classical optimization algorithms and simulated annealing algorithm is implemented based on the algorithm, compare the classic, can be used for the analysis of subsequent performance comparison)

一种基于复杂网络的适应性模型，包含不同能量分布对度分布、不同删除概率影响、鲁棒性与脆弱性、平均路径 聚类系数、容错性(An adaptive model based on complex network is proposed, which includes the effects of different energy distribution on degree distribution, different deletion probability, robustness and vulnerability, average path clustering coefficient, and fault tolerance.)

"Guess The Number" Gae For Beginers.

实现了自适应信号处理RLS自适应均衡算法，比较了不同信道的学习曲线的差别(The difference learning curve to achieve the adaptive signal processing RLS adaptive equalization algorithm, compares the different channels)

说明：  本文以室内、外不同空间的人数统计为背景，研究基于图像的人员计数技术，对某时段内进出摄像机视野中指定区域的人数，或指定区域内在景人数进行统计。主要研究内容有以下几点： （1）人员计数方案论证：本文分析对比了不同人员计数算法，研究分析了基于像素、 基于Hough变换的人员计数算法的优缺点。 （2）基于像素统计的人员计数系统实现：①分别采用近似中值背景模型和高斯混合背景模型提取前景图像；②采用基于HSV颜色空间变换的方法对前景中的阴影进行抑制；③用前景像素数除以人数得到一个人的像素平均值，在已知图像中前景像素数的情况下，可对人数进行估计。 （3）基于Hough变换的人员计数系统实现：①根据人头顶部轮廓近圆的特征,采用Sobel算子提取图像边缘,得到目标轮廓；②设置人员检测计数区，利用Hough变换进行圆检测；③对目标进行跟踪，并且进行有效性判断，记录有效目标；④判断行人是否跨线及跨线方向，实现过往行人的双向人数统计，并对人头进行标记。 (In this paper, indoor outside the different number of spatial statistical background image based on studies of people counting technology, the number of designated areas within some period of time and out of the camera view, the number of designated areas or inner view statistics. The main contents are as follows:       (1) people counting demonstration program: In this paper compares different people counting algorithm analysis based on pixel count algorithm based on the advantages and disadvantages personnel Hough Transform.       (2) based on pixel count of people counting system achieve: ① were used to approximate the value of the background model and a Gaussian mixture background model extraction of the foreground image ② the method of the HSV color space conversion based on the foreground shadow suppressed ③ foreground pixels divided by the average number of pixels to obtain a person s image at a known number of pixels in the foreground of the case, th)

Source code for bilateral filter