Atificial-Fish-Swarm-Algorithm-AFSA

说明：  主要介绍matlab的图像处理、虚拟现实、地图制作三个工具箱(Introduces the matlab image processing, virtual reality, the production of three map Toolbox)

自适应滤波算法是自适应滤波器实现过程中较为重要的环节,数字信号处理器的出现为数字信号处理算法的 实现和大规模数据的实时处理提供了可能。通过对自适应最小均方算法(LMS) 及其各种改进算法的Matlab 仿真,进行分 析及归纳比较,得出结论,并在此基础上,提出算法的优化方案,以DSP 为平台,用汇编语言对自适应算法进行了描述,最终 以DSP 为平台完成了自适应滤波器的设计。(Adaptive filtering algorithm is an adaptive filter process is more important part of the emergence of digital signal processor for digital signal processing algorithm implementation and large-scale real-time data processing possible. The adaptive least mean square (LMS) algorithm and its various improved Matlab simulation, we analyze the comparison, draw conclusions, and on this basis, the proposed algorithm optimization program to DSP platform, with the assembly Language of the adaptive algorithm is described, the final completion of DSP-platform for adaptive filter design.)

汽车理论中汽车制动系统的matlab程序(Car theory matlab program Automotive Brake Systems)

说明：  采用正测式合成孔径成像雷达的信号处理仿真算法，可以用于初学者仿真，和工程设计中(Is measured by synthetic aperture imaging radar signal processing simulation algorithm can be used for beginners simulation, and engineering design)

pca code for face reconition

APF的matlab实现，用matlab仿真有源电力滤波器，程序可以直接运行，可以看到补偿后的完美波形。(APF use matlab simulation)

说明：  此程序是自适应波束图中的主波束的天线方向图 函数调用了sinc函数 (This procedure is adaptive beamforming map of the main beam of the antenna pattern function call the sinc function)

4dpsk和8dpsk的matlab仿真实现，采用蒙特卡罗仿真法，绘制误码率曲线(the realization of 4dpsk&8dpsk by matlab tool.it use the Monte Carlo methods to draw the graph.)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

matlab 编写的源程序交互多模算法，用于目标多机动蒙特卡罗法仿真跟踪滤波器 本人十分关注 机动目标。这个是利用交互多模算法，用于目标多机动假设运动情况下的蒙特卡罗法仿真跟踪滤波器。matlab 编写的源程序。 但是有一点小错误，如果您能修改，不胜感激。(matlab source code prepared by the interactive multi-mode algorithm, used to target many motor simulation Monte Carlo method I am very concerned about tracking filter for maneuvering target. This is the use of interactive multi-mode algorithm, used to target many of motor sport where the assumption of the Monte Carlo method simulation tracking filter. matlab source code prepared. But there is a small error, if you can modify, greatly appreciated.)