leastsquares

example data is Haberman

fisher分类法的matlab实现，包含训练与测试部分。(fisher classification matlab implementation, including training and testing parts.)

一维和二维离散余弦变换的文件，通俗易懂。(This is for students who is major in communication project.)

关于bragg光纤的电磁波横模的计算，用其可以给加好的了解bragg的模式特性(on the transverse mode of the electromagnetic wave, can be used to increase their understanding of good characteristics of the model bragg)

采用MPI+OpenMP混合模型设计并实现光化学反应双层并行模拟算法，上层基于MPI实现节点间的原子分解并行,下层基于OpenMP实现节点内的多线程矩阵并行乘法。(With MPI+OpenMP mixed model was designed and implemented The photochemical reaction bunk parallel simulation algorithms, the upper atomic decomposition based on inter-node MPI implementations parallel, the lower based on OpenMP nodes of multithreading matrix parallel multiplication.)

使用MATLAB仿真软件实现维特比算法译码 降低误码率(MATLAB simulation software using the Viterbi algorithm decoding error rate reduction)

说明：  最短路径分析源码，使用Ao开发，可以准确的分析(Source shortest path analysis, using Ao development of an accurate analysis of)

图像去噪TV模型及Matlab实现， ROF是相对比较老但是比较经典的算法之一，这里对其进行了小的变动。(TV denoising model and Matlab realized, ROF is one of the relatively old but more classical algorithm, where its small change.)

将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用(The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image)

Matlab工程实践课程实验PPT以及部分代码。(Matlab engineering practice course experiment PPT and some code.)