ISS

本例用matlab语言实现了8dpsk的编解码及通过awgn信道的仿真。采用蒙特卡罗仿真法，得到误码性能，绘制曲线。可用于算法研究或课程学习。(cases using the Matlab language of the codec 8dpsk and awgn channel through the simulation. Using Monte Carlo simulation, to be error performance, drawing curves. Algorithms can be used to study or courses.)

这个程序是关于在MATLAB中的M序列的源代码编程。(the procedure is on the MATLAB M sequences of source code programming.)

for some reason the last part is id, which i don t want and the parts seem to be in the reverse order the one in which we find the data itself.

说明：  动态监测程序，采用matlab实现，帧间差分。(Dynamic monitoring procedure)

先进PID控制及其MATLAB仿真程序第三部分(Advanced PID Control and MATLAB Simulation Program Part III)

该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！(These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! )

这是一种搜索有向圈的算法，广泛被用于图论中，非常地实用(There is a search algorithm to the circle, is widely used in graph theory, very useful)

该源码是针对一篇避免过度分割提出的一种新的分水岭算法，具体matlab源码，针对各个步骤都给出了具体分析，个人觉得对学习图像分割的有帮助。(The source is to avoid over-segmentation for a proposed a new watershed algorithm matlab source code specific for each step are given a specific analysis, personal feel to learn image segmentation help.)

image classification using SVM

反距离权重插值算法的matlab实现，简单易懂的算法(IDW interpolation algorithm matlab realize, straightforward algorithm)