signal

以matlab为开发语言的卡尔曼滤波，英文教材，对学习卡尔曼滤波很有帮助(The matlab language Kalman filter for the development of English teaching materials, useful for learning Kalman filter)

this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function.this code can be use for prediction or control system by useing neural networks.

做经验模态分解用的几个有用函数,真的非常有用。(Do empirical mode decomposition several useful function is really useful.)

包括主成分分析、因子分析、贝叶斯分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，是机器学习的例程，基于chebyshev的水声信号分析，在MATLAB中求图像纹理特征，阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料，使用混沌与分形分析的例程。( Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Machine learning routines, Based chebyshev underwater acoustic signal analysis, In the MATLAB image texture feature, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction, Use Chaos and fractal analysis routines.)

15KV光伏SIMULINK模型，采用模糊控制进行控制。(15KV photovoltaic SIMULINK model is controlled by fuzzy control.)

clear all I=imread( lena.bmp ) figure imshow(I) I2=imrotate(I,-4, bilinear ) 逆时针旋转4度 figure imshow(I2) I3=fliplr(I) 垂直镜像 figure imshow(I3) I4=imresize(I,0.5, bilinear ) 缩小为原图的1/2 figure imshow(I4) A=double(I) 转换为double类型 计算7个不变矩 [nc,nr]=size(A) [x,y]=meshgrid(1:nr,1:nc) 得到网格 x=x(:) y=y(:) A=A(:) m.m00=sum(A) if m.m00==0 m.m00=eps end m.m10=sum(x.*A) m.m01=sum(y.*A) 计算均值 xmean=m.m10/m.m00 ymean=m.m01/m.m00 计算中心矩(li9_23.rar cm.cm00=m.m00 cm.cm02=(sum((y-ymean).^2.*A))/(m.m00^2) cm.cm03=(sum((y-ymean).^3.*A))/(m.m00^2.5) cm.cm11=(sum((x-xmean).*(y-ymean).*A))/(m.m00^2) cm.cm12=(sum((x-xmean).*(y-ymean).^2.*A))/(m.m00^2.5) cm.cm20=(sum((x-xmean).^2.*A))/(m.m00^2) cm.cm21=(sum((x-xmean).^2.*(y-ymean).*A))/(m.m00^2.5) cm.cm30=(sum((x-xmean).^3.*A))/(m.m00^2.5) im(1)=cm.cm20+cm.cm02 im(2)=(cm.cm20-cm.cm02)^2+4*cm.cm11^2 im(3)=(cm.cm30-3*cm.cm12)^2+(3*cm.cm21-cm.cm03)^2 im(4)=(cm.cm30+cm.cm12)^2+(cm.cm21+cm.cm03)^2 im(5)=(cm.cm30-3*cm.cm12)*(cm.cm30+cm.cm12)... *((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)... +(3*cm.cm21-cm.cm03)*(cm.cm21+cm.cm03)... +(3*(cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2) im(6)=(cm.cm20-cm.cm02)*((cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2)... +4*cm.cm11*(cm.cm30+cm.cm12)*(cm.cm21+cm.cm03) im(7)=(3*cm.cm21-cm.cm03)*(cm.cm30+cm.cm12)... *((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)... +(3*cm.cm12-cm.cm30)*(cm.cm21+cm.cm03)... *()

gps数字中频信号模拟程序 希望对大家有帮助(gps digital IF signal simulation program we hope to help)

说明：  FAST ICA算法，用于多个信号盲分离，可以参考一下，挺不错的(Fast ICA algorithm, used for blind separation of multiple signals, can refer to, very good)

在Matlab上实现Pajek的复杂网络源程序(Pajek for Complex Network based on Matlab)

这是一个基于MATLAB与VC混合编程的程序代码!是关于一维离散小波去噪的程序!(based on MATLAB and Visual C++ programming code! On the one-dimensional discrete wavelet denoising the procedure!)