tran

（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)

用递归迭代法构造多小波基的matlab源码及实现多小波分解2-D图像 [multiwavelet.rar] - 小波变换的MATLAB实现 几个用MATLAB编写的小波变换示例 (multiwavelet.rar]2-D multi-wavelet construction and implementation computation multiwavelet transform an image (BAT O2 multiwavelet transform)

ar模型检验 用于matlab中 比较简单 (ar model for matlab )

1.分别在两个图中画出δ(n)和δ(n-2)，其中-10≤n≤10，画出U（n）其中-10≤n≤10。 2.分别在两个图中画出x1(n)=cos(2π×20×0.01×n)，0≤n≤10和x2(n)=(0.8)n，1≤n≤6。 3.由上一题，计算y(n)=x1(n)+x2(n)，并画图。(1. Draw the figure at two δ (n) and δ (n-2), where-10 ≤ n ≤ 10, draw the U (n) where-10 ≤ n ≤ 10. 2. Respectively in the two Draw the figure x1 (n) = cos (2π × 20 × 0.01 × n), 0 ≤ n ≤ 10 and x2 (n) = (0.8) n, 1 ≤ n ≤ 6. 3. from the previous question, calculate y (n) = x1 (n)+ x2 (n), and drawing.)

信号与系统MATLAB仿真实验讲义，很适合初学者，理论与实践相结合才是最好的学习方法(Signals and Systems Lecture MATLAB simulations, it is suitable for beginners, combining theory and practice is the best way of learning)

说明：  在MATLAB环境下实现Huffman编码(In the MATLAB environment to achieve Huffman coding)

FSR Sensor project m8

在matlab里自行用简单语句编写的卷积运算程序，一道小作业题。(In matlab in their own written statement with the simple convolution procedure, a small job title.)

sift算法实现的图像匹配程序，使用matlab编写的，多用于图像拼接，融合等领域。(sift algorithm of image matching procedures, the use of matlab prepared are used for image mosaic, integration and other fields.)

MATLAB在振动信号处理中的应用,书籍和源码 工程振动信号的预处理以及模态参数的识别程序(random signal processing in matlab)