DTT

说明：  popfnn神经网络，它是一种模糊伪输出的神经网络(pseudo-outer-production fuzzy nerual network).可用于模式识别。运行pop1可以训练输入的特征向量，extractionpop使用来抽取图片的特征向量的。(popfnn neural network, it is a pseudo-output fuzzy neural network (pseudo-outer-production fuzzy nerual network). can be used for pattern recognition. Can be trained to run pop1 input feature vector, extractionpop used to extract the image feature vector.)

this is diff in matlab.

法国人Rilling的程序写的EMD分解的程序 on empirical mode decompos and its algorithms. 内附说明 (Matlab codes for CEEMDAN (ref. [C162])on empirical mode decompos and its algorithms)

matlab内容精讲，自己看过了感觉挺好的 推荐学习matlab的同学们可以看看(The matlab content succinctly and have seen a very good feeling the recommended learning matlab classmates can look)

MAT4 MAT4 MAT4 MAT4

数字图像处理课程上机实验3_Matlab邻域平均法 和中值滤波法（matlab代码全）(Digital Image Processing courses on experiments 3_Matlab neighborhood average and median filtering method (matlab code full))

actif power filter with diodes

y3k=fft(u,(m+n-2)/4) i=1:(m+n-2)/4 subplot(5,2,9) stem(i,u) title( 滤波后上采样 ) k=1:(m+n-2)/4 subplot(5,2,10) stem(k,y3k) title( 上采样频谱 ) xlabel( k ) ylabel( y3k ) (y3k = fft (u, (m+ n-2)/4) i = 1: (m+ n-2)/4 subplot (5,2,9) stem (i, u) title (after filtering the sample) k = 1: (m+ n-2)/4 subplot (5,2,10) stem (k, y3k) title (on the sample spectrum) xlabel (k) ylabel (y3k))

matlab语言 kalman开发 适用于初学者 (matlab language the kalman development suitable for beginners)

image processing tool box