code-matlab-SCFDMA

常用的几种遥感图像特征提取技术分析，新的纹理图像特征提取方法。(Several commonly used feature extraction techniques of remote sensing image)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

经典的灰度共生矩阵纹理计算方法，利用matlab针对图像进行马氏距离计算 ,本科毕设要求参见标准测试模型。( Classic GLCM texture calculation method, Using matlab to calcul)

用matalb进行ofdm的仿真，这个程序可以运行，简单明了(matalb used for the ofdm simulation, the process can run simple and clear)

this code use for load image using matlab platform

带通滤波，低通滤波，数据过滤及谱分析算法及用到滚动轴承故障数据(Band-pass filter, low-pass filtering, data filtering and spectral analysis algorithms and data used in Roller Bearing Fault)

根据LTE上行SIMO接收机特点，对MMSERISIC均衡器进行简化修改，得到MMSEFDE均衡器,该均衡器所有步骤全在频域进行，大大降低了均衡算法的复杂度。(LTE uplink SIMO receiver according to the characteristics of the MMSE-RISIC equalizer to simplify modification, by MMSE-FDE equalizer, the equalizer all the steps in full in the frequency domain, greatly reduces the complexity of balancing algorithm.)

一种改进的快速独立分量分析方法，加入了匹配系数加以改进(An improved method of fast independent component analysis, be improved by adding a matching coefficient)

Matlab 下支持向量机经典实现过程，非常适合初学者使用，台湾林智仁代表作(Matlab SVM classic application, very straightforward, simple to understand, it s worth downloading)

matlab中的SVM工具箱，对于进行SVM分类的实验有一定帮助。(SVM toolbox in matlab, experimental SVM classifier.)