改进的人工势场法

audio classification using SVM for 5 classes

说明：  运用递推最小二乘法对传感器建模仿真并对其惊醒补偿(Recursive least squares method using modeling and simulation of sensor and compensate for its wake)

This is code for segmentation using level set technique.

用于matlab控制HFSS的源代码,包含所有简单功能(Api for HFSS(matlab control))

LDPC的检验矩阵的生成，编码和译码过程。(The process of LDPC codes generating,encoding and decoding.)

声学物理特性，主被动声纳或基阵的信号处理 (Acoustic physical characteristics, or the array of active and passive sonar signal processing)

有向图中，求最小费用最大流的一种方法，matlab(Directed graph, and the minimum cost and maximum flow of a kind of method)

包含MVC，GMV等的几种控制系统性能评估算法。还不错，分享一下(Generalized minimum variance control)

matlab 数值分析 列主元消去法 线性方程(matlab numerical analysis PCA elimination of linear equations)

（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)