OFDMyuanshidaima

1) 已知x=[1:15], y=[12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], 用多项式进行拟合，给出拟合多项式，(所选拟合多项式阶数不同，拟合结果不同，请你选择适当的阶数进行拟合)，并绘出原始数据点、拟合曲线和95％置信区间（confidence bounds）的图形 . 2) 根据下面数学模型建立仿真模型，并在一个示波器中把它们的波形仿真出来。 (1) are known to x = [1:15], y = [12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], with polynomial fitting, given the polynomial fitting, (the election order polynomial fitting different fitting results to differ, please select the appropriate order of fit), and draw original data points, fitting curve and 95 confidence interval (confidence bounds) graphics .2 ) In accordance with the following mathematical model for the establishment of simulation model, and in an oscilloscope waveform in their simulation out.)

用matlab编写的关于图像的行分割和列分割算法，很实用(Prepared using matlab line on the image segmentation algorithm segmentation and out, very useful)

bootstrap粒子滤波的matlab程序，具体的应用粒子(It is a variant of particle filtering, I believe useful to you, the calculation speed better than the average particle filter )

空域滤波器一种--MVDR波束形成器，以《现代信号处理》（张贤达）书上所讲过程所写(Spatial filter one kind- MVDR beamformer to the "Modern Signal Processing" (Zhang XD) wrote the book talking about the process)

This code is about red object track. This code is done in MATLAB.

应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂(Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the training set (7291 data), a test data (2791 data), the program written using MATLAB , attached a document, the program is simple and easy to understand)

现代数字信号处理 何广军 MATLAB 代码(MATLAB code of digital signal processing edited by Hu GuangJun)

A fast and simple voxel traversal algorithm through a 3D space partition (uniform grid)

一个关于LDA算法的简单介绍和相关例子。(A brief introduction on the LDA algorithm and examples.)

这是基于哈尔滨工业大学的《线性系统》理论的课件，提供给大家！(This is based on the Harbin Industrial University, "Linear System Theory" courseware available to everyone!)