get_hist_google_stock_data

实现混合高斯背景建模，对给定图像序列进行背景建模.内置的参数可以自行修改，以适用不同的应用需求。(mixture of gaussian，it will help you to construct the background model of series frames)

很经典的mim-ofdm系统仿真，希望能帮到大家(MIMO-OFDM Simulator)

MATLAB颜色的使用，以研究颜色映象开始：如何使用、显示、修改和如何创建用户自己的颜色映象。然后，阐述在一个图形窗口中仿真多个颜色映象的技术或只使用颜色映象的一部分的技术(MATLAB color, began to study the color mapping: how to use, display, modify, and how to create your own color mapping. Then multiple color mapping technology of simulation in a graphical window, or use only part of the color mapping technology)

Convert array to a text file that can use with LIBSVM library Convert LIBSVM file format to an array Disadv: does not work if missing values are present.

两发两收的空间多路复用信道的matlab仿真程序。(Two received two space multiplexing channel matlab simulation program.)

1 SIFT 发展历程 SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 3 SIFT算法的主要特点： a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。 b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。 c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。 d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。 e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。 4 SIFT算法步骤： 1） 检测尺度空间极值点 2） 精确定位极值点 3） 为每个关键点指定方向参数 4） 关键点描述子的生成 本包内容为sift算法matlab源码(1 SIFT course of development SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement. 2 the SIFT main idea The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant. 3 the main features of the SIFT algorithm: a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability. b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23]. c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors. d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements. e) The scalability can be very convenient fe)

OFDM的simulink仿真，最后显示了输入输出波形和符号误差率(OFDM simulink simulation. Finally, the input and output waveforms to facilitate comparison and shows the symbol error rate)

说明：  一个关于adaboost算法的matlab程序,对开始接触adaboost研究的人,有实用价值，并且蛮容易上手(AdaBoost algorithm on matlab procedures, AdaBoost study came into contact with people who have practical value, and quite easy to use)

This function returns the numerical derivative of an analytic function. Of special note, is the incorporation of the "complex stepderivative"approach which offers greatly improved derivative accuracy compared to approximations. This is especially germain when accuracy at the level of machine precision is a concern. (Programming the finite element toolbox using matlb finite element toolbox, many examples for yourself as there is a very friendly interface, input parameters can be)

An Introduction to MATLAB and SIMULINK