Antenna

particle filter for tracking visual target using Matlab ,enjoy it!

Tamura纹理图像的MATLAB实现，粗糙度、对比度、方向度、线性度、规则度以及粗略度(MATLAB implementation Tamura texture, roughness, contrast, direction, linearity, and a rough rule degree degree)

进行PCA分解，由迭代算法，算出得分向量和负荷向量(something about PCA)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

实现分水岭算法分割图像，使用梯度的分水岭分割来解决图像的分割问题(Watershed algorithm for image segmentation, watershed segmentation using the gradient to solve the image segmentation problem)

algo de fourier para entretenerse

这是一个可以对随机信号进行加噪，并通过QPSK和8PSK解调后，并分析误码率的程序，为m文件，比较简单，纯粹是调用自带函数制作的(This is a random signal can add noise, QPSK and 8PSK demodulation through, and after the procedure error rate analysis for the m file, relatively simple, purely native function calls made)

说明：  里面有三个二维模糊调节器分别实现PID控制器的参数Kp，ki，Kd，的调节。其控制原理：根据前面的偏差e和偏差变化ec将三个模糊控制器FC1,FC2,FC3分别进行模糊化，模糊逻辑推理，解模糊化。最后得到pid控制器参数调节量。(There are three two-dimensional fuzzy controller to achieve PID controller parameters were Kp, ki, Kd, of the regulation. The control principle: According to the previous error e and error change ec the three fuzzy controller FC1, FC2, FC3 were fuzzy, fuzzy logic, defuzzification. Finally, adjust the controller parameters by pid.)

本文件内容是十大经典算法之一——贪婪算法，还有详细的内容讲解，便于理解，下载的时候可能会占用一点时间。(Contents of this document is one of the top ten classical algorithm- greedy algorithm, there is a detailed explanation of the content, ease of understanding, the download time may take a little time.)

FOR IMAGE RETRIVAL USING WAVELET01