econdispatchlongcode

matlab RS 分形程序，用于稳定性检验，也可以进行周期长度估计，当统计量图形形状发生变化，就发生突变，短期记忆消失(Fractal matlab RS procedures for stability testing, but also can estimate the cycle length, when the statistic graphics shape changes, on the mutation, the disappearance of short-term memory)

利用序贯方法，分离不同轨迹的航迹，例子是以两这个匀速的目标(The sequential method, the separation of different track track,)

土木工程领域，非线性杆系有限元matlab程序。参考书籍为普林斯顿大学教授编写的NFEM讲义。(Civil engineering, nonlinear finite element matlab program. Reference books for Princeton University professor NFEM written handouts.)

New samples C++ program

基于newmark方法的机床主轴传动系统工具包，可以分析求解传动系统、位移、速度、加速度响应(Methods based newmark spindle drive kit can analyze solving transmission, displacement, velocity and acceleration response)

pca进行人脸识别的原理和代码，特征脸方法，图像重建(PCA for face recognition principle and code, Eigenfaces method, image reconstruction)

MIMO系统信道估计的经典MUSIC算法，有解释，可完美运行(MIMO channel estimation system of the classical MUSIC algorithm, there is explanation of the perfect run)

本论文的主要内容包含以下几个方面: 首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合 算法及融合结果的评价方法做了分类。 其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及 小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算 法中最佳小波分解层数和小波基函数的选取 再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十 小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了 仿真实验 最后，总结本论文的研究成果和不足，并指出发展方向。(The following main parts are included. Firstly, this paper discussed the basic theory, present state and means of image fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences. Secondly, this paper discussed the wavelet theory and the wavelet decomposition and reconstruction of image, studied the effects on selection of wavelet basis function and wavelet decomposition level to multi-focus image fusion, at last the best choices are proposed. Thirdly, a new method: regional contras of wavelet transformation are proposed for multi-focus image fusion based on wavelet transformation and Matlab is employed to simulation algorithm Finally, this paper summarized the research achievement and insufficient of this paper and pointed out development direction. )

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 )

Electromagnetic Simulation using the FDTD method 实例 2-3 frequency_dependent_media ，用matlab重新编写(Electromagnetic Simulation using the FDTD method example 2-3 frequency_dependent_media flux density ，rewriting in matlab)