OFDM_MATLAB

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

[IOVS]2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl的实现matlab代码，医学图像增强([IOVS] 2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl realization of matlab code medical image enhancement)

实现图像的像素放大功能，插值放大法,例如将一副128*128的图像放大为512*512的图像，希望对大家有所帮助(Image pixel zoom function, interpolation magnify)

周期性差分自动平滑回归模型(SARIMA)的matlab代码，附有注释(英文)。包括模型阶数的选择和预测输出以及分析用图像和MAPE评价数值。(The code for matlab code for the periodic differential automatic smoothing regression model (SARIMA) with comments (in English). Including the choice of model order and forecast output and analysis of image and MAPE evaluation values.)

一个用matlab编写的基于的指纹匹配程序，可以下载来看看，希望对你有所帮助。(Written by matlab a fingerprint-based matching procedure, you can download to see, you want to help.)

使用Matlab对一集体函数进行fft计算，并绘制复制图像，并减小栅格效应(Using Matlab fft function on a collective basis, and draw copy the image and reduce the effect of the grid)

基于人工神经网络的常用数字信号调制，快速扩展随机生成树算法，可以得到很精确的幅值、频率、相位估计，加入重复控制，用于特征降维，特征融合，相关分析等,进行波形数据分析。( The commonly used digital signal modulation based on artificial neural network, Rapid expansion of random spanning tree algorithm, You can get a very accurate amplitude, frequency, phase estimation, Join repetitive control, For feature reduction, feature fusion, correlation analysis, Waveform data analysis.)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

介绍matlab中主要数学函数，非常实用，学习的好帮手(Introduction MATLAB in the main mathematical function, very practical, learning a good helper)

计算机内存分配，首次适应策略、最佳适应策略、循环适应策略、最坏适应策略。matlab代码，略简单(Storage Allocation First_fit/Best_fit/Next_fit/Worst_fit)