Matlab_analyse_traffic_jam_status

广义二型模糊系统的源代码，各个部分都有代码进行说明，对于需要学习二型系统的人是很好的选择。(The source code of generalized type II fuzzy system is explained in every part. It is a good choice for people who need to learn type-II fuzzy system.)

ICP算法,主要用于三维点云数据的配准，最近点迭代算法，可以收敛到局部最小(registration of point cloud data,the iterated close point algorithm)

采用GSM系统的GMSK调制方式，并画出出时频域图，计算BER，有利于了解GSM系统的调制解调。(Frequency domain using the GSM system GMSK modulation and draw the diagram, calculate the BER beneficial for GSM modem.)

2D转3D中的深度图生成模块，内部有图片例子。(depth map generation module, 2D to 3D)

仿真了恒虚警的平均单元算法，给出仿真结果，同时分析了不同窗口数对虚警率和检测率的影响，并写了详细的注释(The constant false alarm average cell algorithm is simulated, and the simulation results are given. Meanwhile, the influence of different window numbers on false alarm rate and detection rate is analyzed, and detailed annotations are written.)

一个比例和方向自适应均值漂移跟踪算法（SOAMST） 提出本文所要解决的问题，如何估计的规模和方向 改变均值漂移下的目标跟踪框架。在原来的均值偏移 跟踪算法，可以很好地估计目标的位置，规模的同时， 方向的变化，不能自适应估计。考虑到图像（重量） 是来自于目标运动模型和候选模型可以代表的可能性，一个 像素属于目标，我们证明了原来的均值漂移跟踪算法可以 推导出的重量图像的零阶和一阶矩。随着零阶 矩和目标模型和候选模型之间的Bhattacharyya系数， 提出了简单而有效的方法来估计的规模为目标。然后一种方法， 利用估计的区域和第二阶中心矩，提出 自适应地估计目标的宽度，高度和方向的变化。广泛 实验来证实所提出的方法，并验证其可靠性 规模和方向变化的目标。(A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this paper to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, while the scale and orientation changes can not be adaptively estimated. Considering that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target, we show that the original mean shift tracking algorithm can be derived using the zeroth and the first order moments of the weight image. With the zeroth order moment and the Bhattacharyya coefficient between the target model and candidate model, a simple and effective method is proposed to estimate the scale of target. Then an approach, which utilizes the estimated area and the second order center moment, is proposed to adaptively e)

Simon Haykin的《Communication Systems》(《通信系统》)的配套MATLAB源代码。包括脉冲调制、随机过程、和差错编码等。 ("Communication Systems" ( " communications systems ") supporting MATLAB code. Including pulse modulation, random process, and errors in coding.)

基于FastICA算法的图像的盲分离，可运行结果，用详细的注释(The blind separation of images based on FastICA algorithm can run the results with detailed annotations.)

说明：  蚁群算法matlab程序（分类聚类TSP算法）(antcolony for cluster)

本文提出的特征系统实现算法是多输入多输出的时域模态参数识别方法, (eigensystem realization algorithm,ERA)