dct

说明：  快速图像修复的各种算法 各种算法详尽的表述及其相互比较(Fast image restoration algorithms detailed presentation of the various algorithms are compared)

用双线性插值法实现的图像缩放，内有详细的使用说明。非常好用(Bilinear interpolation method used to achieve the image scaling, which has detailed instructions. Very easy to use)

实现直角坐标系至极坐标系下的图形图像变换。本方法为最新的快速变换方法，可应用于相位相关下的带旋转平移、缩放等变换。(the method can transform pic to radan.it can be used by PC to get the roation.)

marburg.c 用Burg算法求AR模型的参数。 mar1psd.c 由AR模型参数得到功率谱。 maryuwa.c 用Levinson算法求解Yule-Walker方程以得到 阶AR模型的参数 。 (marburg.c using Burg algorithm for AR model parameters. mar1psd.c by the AR model parameters obtained power spectrum. Levinson algorithm maryuwa.c with Yule-Walker equation in order to get rank AR model parameters.)

阵列信号处理方面的经典程序，包括MUSIC算法，ESPRIT 算法，Root-MUSIC算法面阵中二维角度估计 Unitary -ESPRIT算法，空间平滑MUSIC算法，传播算子DOA估计算法等等(Classical array signal processing procedures, including the MUSIC algorithm, ESPRIT algorithm, Root-MUSIC algorithm for two-dimensional planar array of point estimates Unitary-ESPRIT algorithm, spatial smoothing MUSIC algorithm, propagator DOA estimation algorithm, etc.)

本程序给出一个利用高斯法近似求解病态方程的解的例子(This program gives a Gaussian approximation method for solving equations morbid examples)

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

多径条件下基于加权空间平滑的阵元幅相误差校正(Multipath based on weighted spatial smoothing array element amplitude and phase error correction)

图像的自动拼接和缝补，采用sift算法作为匹配，是学习全景图像拼接的基础，大家可以下载下来看看(Automatic image stitching and sewing, using sift algorithm as a match, is the basis for learning panoramic image mosaic, you can download to see)

说明：  生成显著图方法，一种基于空间频域分析的显著性分析算法（Spectral Residual，SR算法）的matlab实现代码(Matlab code generated saliency map method based on the spatial frequency domain analysis of significant analysis algorithm (Spectral Residual, SR algorithm))