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BP学习算法应用——模式分类 应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。 将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。(BP learning algorithm applications- the application of pattern classification momentum BP learning algorithm to provide a classic UCI database- iris database classification, high speed and accuracy. iris.arff for the database file that can be used to open Weka data mining software. Iris.csv for the source code to read the data files have been converted through Weka software. Iris_classify.m the source document and document Iris.csv Add matlab folder of work can be directly run.)

Simulacion de audio mediante multiplexacion por division de frecuencia.

根据视频场景计算生成人群密度热度图，统计人流分布(Given the video sequnce, this demo counts the people density and return the heat map.)

说明：  采用RGB+K-means对路标进行提取，效果十分不错。(RGB+ k-means is adopted to extract road signs, and the effect is very good.)

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)

这是关于雷达杂波的仿真的matlab程序，希望对大家有所帮助(This is on the radar clutter of the Matlab simulation procedures, we hope to help)

MATLAB环境下的BP网络的实现，源程序，对于在matlab下做神经网络仿真的各位有帮助。(MATLAB environment BP network realized, source files, For Matlab neural network simulation do you have any help.)

HR_SF01_05_流程图 设计资料 PPT版本 对于初学MATLAB的人会有帮助(PPT version of the design information HR_SF01_05_ flowchart MATLAB for beginners who would be helpful)

说明：  采用RS极重标差分析法得到HURST指数。参数sequence为输入的时间序列。(RS heavy use of standard deviation analysis by HURST index. Parameter sequence for the input time series.)

PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames()