spline3

递推最小二乘的老师给的很好的matlab程序(Recursive least squares parameter identification procedures)

用间接周期图法，分别对有噪声和无噪声的信号进行谱估计。(Indirect cycle diagram, respectively noise and noise-free signal spectrum estimation.)

matlab实现验证采样定理的仿真程序，附有仿真结果图(verification sampling theorem Matlab simulation program, with the simulation results Figure)

说明：  冈萨雷斯《数字图像处理（matlab)》书中的图片集（简称老冈书的图片）(The pictures used in the book of Digital Image Processing Using MATLAB,written by Gonzalez)

很好的一个ofdm算法的源代码，很适合大部分的初学者。有利于大家好好的理解ofdm的功能。(Ofdm algorithm a good source code, it is suitable for most beginners. Be kind to help understand the functions of ofdm.)

在社会网络中，采用MATLAB构建的一个拉普拉斯矩阵和叶子边缘的两个算法(In social networks, the use of two algorithms and a Laplace matrix leaves the edge of the MATLAB built)

This program plots sensitivity of OFDM subcarriers with Carrier frequency offset(CFO)

说明：  利用那个matlab进行图像处理的几个常用的.m文件，需要自己考进自己的处理目录就可以正常使用了。(Using the matlab image processing of several commonly used. M files, you need to test their processing into its own directory to be normal use.)

this source code is sarekari

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)