158_2013_999_MOESM2_ESM

用matlab语言来实现TSP问题，对于研究TSP问题的人有很大的帮助(TSP problem matlab language of great help for people who study the TSP)

单相逆变电路 matlab仿真 重复控制(matlab )

基于互功率谱的时延估计，是信号处理的基础，信号维数的估计。( Based on the time delay estimation of power spectrum, Is the basis of the signal processing, Signal dimension estimates.)

说明：  分类使用（一个非常简单的实现）支持向量机算法(Classify using (a very simple implementation of) the support vector machine algorithm)

matlab的经典算法，包含了各种有用的算法程序，有益于初学者。(matlab classic algorithms, the algorithm contains a variety of useful procedures are conducive to beginners.)

SIFT特征（Scale-invariant feature transform，尺度不变特征转换)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量(SIFT features (Scale-invariant feature transform, scale-invariant feature transform) is a computer vision algorithm to detect and describe the image characteristics of the locality, it scales in space to find extreme points, and extract its location , scale, rotation invariant)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

简单的Turbo码的编程，可以为Turbo码的研究提供参考(This is a simply program of Turbo code which can be used for some further researches.)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(P0301: digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation of the methods used to enhance image contrast P0304: Histogram of homogenization P0305: simulated images by the Gaussian white noise and salt and pepper noise P0306: A two-dimensional median filter function medfilt2 by the salt and pepper noise to the image filtering P0307: the use of MATLAB function in the noise interference of filter2 images mean filter P0308: Wehner adaptive image filtering P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: the image of the high-pass filter and mask to deal with P0311: the use of Butterworth (Butterworth) low pass filter on the subject of the image noise smoothing P0312: the use of Butterworth (Butterworth) high-pass filter for sharpening images)

SOMVIS软件学习材料，高纬网络及其可视化(SOMVIS software, learning materials, networks and visualization of high-latitude)