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4-ary LDPC matlab code

车牌识别源程序，可以识别很多角度，很好的呀(License plate recognition source code, you can identify in many ways)

BEZIER_SURFACE_DISPLAY is a work in progress . I have managed to read the data in and display a crude image, in which each Bezier patch is represented by a flat rectangle. Obviously, I need to take the next step, which is to be able to sample the bicubic function and display a finer mesh of rectangles, in order to see the teapot in its glory!

一些卡尔曼滤波算法实例，里面包含两个文件，两个均可运行，虽然简短，但是能从中了解滤波算法(Some examples of the Kalman filter algorithm, which consists of two files, two can be run, though brief, but can understand the filtering algorithm )

Stochastic Fractal Search: A new Powerful metaheuristic algorithm. If you want a powerful algorithm to solve your optimization problem, do not hesitate to use SFS algorithm.

用MATLAB实现CCSDS_LDPC编码，并生成相应的校验矩阵H。压缩包内包含相应源程序以及CCSDS_LDPC编码原理的说明文档。(Using MATLAB CCSDS_LDPC coding, and generate the corresponding check matrix H. Compressed package that contains the corresponding documentation and CCSDS_LDPC source coding theory.)

matlab code of dgital communication

（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)

说明：  matleble仿真倒立摆 可用的源程序，绝对可用，(Simulation of inverted pendulum matleble available source code is absolutely available,)

Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction