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说明：  Hessian矩阵计算，在matlab下开发，二维三维(Hessian matrix calculations, developed under matlab, two-dimensional three-dimensional)

Matlab GUI4 初学者视频教学，非常实用的视频教学文件(Matlab GUI4 learner video teaching,very useful)

MATLAB关于模糊控制说明书,非常详细，全英文版本(MATLAB on the fuzzy control manual, very detailed, full English version)

无线传感器网络的定位算法仿真，基于DV-Hop算法~~~(Localization algorithm in wireless sensor networks simulation algorithm based on DV-Hop ~ ~ ~)

Program to implement a list data structure in C++ (partial) With debug output for poor-man s animation

说明：  MATLAB高阶谱工具箱,方便信号处理工作的完成.(MATLAB toolbox high-end spectrum to facilitate the completion of the signal processing.)

由于小波及小波包技术可以将信号或图像分层次按小波基展开，所以可以根据图像信号的性质以及事先给定的图像处理要求确定到底要展开到哪一级为止，从而不仅能有效地控制计算量，满足实时处理的需要，而且可以方便地实现通常由子频带、层次编码技术实现的累进传输编码（即采取逐步浮现的方式传送多媒体图像）。这样一种工作方式在多媒体数据浏览、医学图片远程诊断时是非常必要的。另外，利用小波变换具有放大、缩小和平移的数学显微镜的功能，可以方便地产生各种分辨率的图像，从而适应于不同分辨率的图像I/O设备和不同传输速率的通信系统。相比之下，利用KL变换进行压缩编码，只能对整幅图像进行；而利用小波变换则能够比较精确地进行图像拼接，因此对较大的图像可以进行分块处理，然后再进行拼接。显然，这种处理方式为图像的并行处理提供了理论依据。 (As the little affected wavelet packet technology can signal or image stratified by wavelet and so on according to the nature of the image signal and the image processing requirements given in advance exactly sure on to what level, and so far not only can effectively control of calculation and meet the needs of the real-time process, and can be easily realized by sub-band usually coding technology, levels of the realization of the progressive transmission (that is, take gradually emerged coding the way multimedia image transfer). Such a way of working in multimedia data browse, medical image remote diagnosis is very necessary. In addition, by using wavelet transform has amplification, narrowing the mathematics of peace move microscope function can be easily produce all sorts of resolution image in order to adapt to different resolution in )

optimization of benchmark function by different methods

频率计算的matlab程序 (RESPONSE CACULATE)

matlab函数文件 绘制卫星视角的三维地球视图 清晰逼真(matlab function file rendering three-dimensional perspective of the Earth satellite view vivid)