ABC算法

周期图法功率谱估计，希望对大家能有所帮助。(Periodogram Power Spectral Estimation)

MATLAB程序用于读取CIE图片，CIE坐标转换为图片坐标，在图中添加CIE 颜色点(MATLAB program used to read CIE pictures, CIE coordinates transform for image coordinates, CIE color is added in the figure)

matlab的基础教学，对于从来没有学习过matlab的同学，该文档可以提供由浅入深的详细介绍与说明。(matlab basis for teaching, never studied matlab for students, the document provides a detailed description and explanation progressive approach.)

利用Matlab软件编程实现DDS（直接数字频率合成技术）。设时钟的频率为固定值f_C，在CLK的作用下，如果按照0000,0001,0010，…，1111的地址顺序读出ROM中的数据，即表1中的幅值编码，其正弦信号频率为f_01；如果每隔一个地址读一次数据（即按0000,0001,0100，…，1110顺序），其输出信号频率为f_02，且f_02将比f_01提高一倍，即f_02=2f_01；其余类推。这样，就可以实现直接数字频率合成器的输出频率的调节。(Matlab software programming DDS (direct digital frequency synthesis). Clock frequency set to a fixed value f_C, under the effect of CLK, according to 0000,, ..., 1111 of the sequence of addresses in the ROM reads the data, i.e., the amplitude of the encoding in Table 1, the frequency of the sinusoidal signal f_01 if every time a read address data (ie 0000,0001,0100, ..., the order of 1110), the output signal frequency is f_02, and f_02 f_01 than doubled, i.e. f_02 = 2f_01 rest on. This allows direct digital frequency synthesizer output frequency regulation.)

利用浮点数编码的遗传算法优化非均匀天线阵的峰值旁瓣电平(This thesis presents how to design sparse arrays using genetic algorithm with the optimization goal of peak side lobe level and calculate the best positions of array elements.)

（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)

program on image processing based on MATLAB for biometric recognition

face detection system,for matlab simulink neural network

Commande floue de la MSAP

信号产生和fft变换分析 信号通过switch函数选择产生(Signal generation and fft transform analysis of the signal generated by switch function selection)