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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)

Algorithms for Enhanced Inter-Cell Interference Coordination (eICIC) in LTE HetNets

基于ANSYS的多材料热接触的传热分析的命令流(Command Flow for Heat Transfer Analysis of Multi-material Thermal Contact Based on ANSYS)

本程序主要是处理图像的，主要是用于求解被高幅度尖锐噪声而不是高斯分布噪声污染的信号分离问题~把问题矩阵分解成一个低秩表示的矩阵和一个稀疏矩阵，优化目标函数，用ALM方法是求解的~(This procedure is mainly to deal with the image, mainly for solving high-amplitude sharp noise rather than Gaussian noise distribution of the signal separation problem- the problem matrix is decomposed into a low-order matrix and a sparse matrix, optimization objective function, ALM method is the solution ~)

说明：  有EEMD分解的源程序，可求解分量信号的能量熵(Source program containing EEMD to solve the energy entropy of component signals)

说明：  matlab编写的蚁群优化tsp程序，很不错，希望大家喜欢(ant colony optimization matlab prepared tsp procedures, very good, I hope everyone likes)

说明：  数字信号处理实例，适合初学者，对数字信号处理的入门，MATLAB实例(Digital signal processing example, suitable for beginners, introduction to digital signal processing, MATLAB examples)

Batch Relaxation : Linear Discriminants

偏最小二乘法工具包，美国著名的eigenvector公司出品。版本3.0.免安装。(PLS_toolbox produced by eigenvector. version 3.0)

In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.