MLR

sift算法page，详细论述了sift算法的基本过程(sift algorithm page, sift algorithm discussed in detail the basic processes)

efficient codec design project

共轭梯度法，用于求解非线性约束问题，适用于matlab程序(Conjugate gradient method for solving nonlinear constrained problem for matlab program)

HQPSO Algorithm for Improving QoS in Web Services Selection and Composition

基于MATLAB-GUI图形界面的数字图像处理软件 本系统设计基于GUI图形界面，用matlab语言编写代码，实现功能包括图象的亮度变换，图像锐化，灰度变换，截图，DCT变换，任意旋转，直方均衡。中值滤波等功能。(MATLAB-GUI-based graphical user interface of the digital image processing software system based GUI graphical interface, write code using matlab language, to achieve transformation functions include image brightness, image sharpening, gray-scale transformation, screenshots, DCT transform, arbitrary rotation, histogram equalization. Median filtering.)

调制信号的识别。比如2ASK,2PSK,2FSK 、QAM等调制方式的信号识别。(Identification of the modulation signal.For example 2ASK, 2PSK, 2FSK, signal recognition QAM modulation scheme.)

微分进化算法@matlab 适用于无约束连续变量的全局优化，包括线性规划、非线性规划，非光滑优化。(@ Matlab differential evolution algorithm for unconstrained global optimization of continuous variables, including linear programming, nonlinear programming, nonsmooth optimization.)

基于高斯混合分布的假设，利用EM算法对数据进行分类(classification based on the Gaussian Mixtrue Models using EM algorithms)

（压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat 3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat 4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat 5.用runfnn.m对rstest进行测试得到其识别率 savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat 2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat 3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat 4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat 5. Rstest used to test for runfnn.m by its recognition rate cm.m is savem.m and minimum distance classifier on the training set and test set classificati)

用matlab仿真了LDPC码的编码译码程序，及其用BPSK调制传输。并测其误码率(Matlab simulation of the LDPC codes with coding and decoding process, and its transmission with BPSK modulation. And measure its error rate)