shiyan2_xcorr

3D图形图像可视化程序的子程序，用于选择三维体积中的可视界面(volumeVisualization Engine for choosing y-z planes to view)

本资源提供了详细的matlab的源代码，能够快速的入门matlab，并熟练的掌握matlab。 (This resource provides a detailed matlab source code, fast entry matlab, and skilled master matlab.)

讲述信道化接收机模型及正交处理，内容比较全面，有仿真结果(About the channel receiver model and the orthogonal processing, content more comprehensive, with simulation results)

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 )

用双线性变换法设计IIR数字滤波器,程序，用图形显示(Bilinear transformation method of IIR digital filter design, procedures, graphical display)

说明：  有用得MATLAB讲义，对MATLAB初学者非常有用(MATLAB helpful handouts on MATLAB is very useful for beginners)

应用Matlab采用Galerkin法求解偏微分方程(Galerkin method for solving partial differential equations by matlab)

关于启发式算法的简单介绍以及实例应用分析(A brief introduction of Heuristic with examples.)

基于图象的铅笔画绘制，图形图象处理范围的内容。(Image-based pencil drawing, graphics, image processing range of content.)

说明：  光流运动中经典的Lucas_Kanade的matlab算法，适合视频中的目标跟踪运用(Optical flow motion in the classical Lucas_Kanade the matlab algorithm for tracking the use of video in)