Mie-scattering-with-comsol-vs-matlab

image histrogram for noise reduction

精通MATLAB最优化计算的书籍，精通matlab必读之书(The most proficient in MATLAB Optimization)

计算功率谱（或互谱）的matlab子程序(Calculate the power spectrum)

波束形成就是从传感器阵列重构源信号。（1）、通过增加期望信源的贡献来实现；（2）、通过抑制掉干扰源来实现。经典的波束形成需要观测方向(期望信源的方向)的知识。盲波束形成试图在没有期望信源方向信息的情况下进行信源的恢复(From sensor array beamforming is reconstructing source signal.(1), by increasing the expected source contribution to achieve (2), by suppressing interference sources.Classic beamforming need observation direction (expected source direction).Blind beamforming is trying to not expect source direction information of source of recovery)

本内容为，三维模型直接导入matlab中，可以方便的运行，可以更观的体现模型的真实性(This content is, three-dimensional model directly into matlab, you can easily run, you can view more manifestation of the authenticity of the model)

说明：  此程序为用matlab实现信号特征提取的实验程序，将待处理的一维时间函数赋给work2中的x1tRE，运行work2即可 (This procedure is used to achieve signal feature extraction matlab experimental procedures, will be dealt with one-dimensional function of time assigned to work2 in x1tRE, you can run work2)

这是一个用于线性分类的支持向量机SVM的MATLAB实现。此代码利用简单的MATLAB内置函数实验了SVM，不依赖LIBSVM等工具箱，并且提供了一个例子，以供初学者一开始对SVM有一个简单了解。(This is a matlab code of support vector machine.Here the SVM is achieved with some common matlab function. It is for SVM beginner. )

完整的车牌识别程序，MATLAB，有车牌图(MATLAB)

王兴刚和白翔合作发表的CVPR2011的文章， Feature Context for Object Detection and Image Classification，可以用于物体检测和图像的分类，用到了特征上下文，Feature Context(PROCEEDINGS and white Xiang cooperation the published CVPR2011 article Feature Context for Object Detection and Image Classification can be used for object detection and classification of the image, to use the features of the context, Feature Context)

Deblurring Images Using a Regularized Filter This example shows how to use regularized deconvolution to deblur images. Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.