FDTD3d_UPML

GPS signal processing.

matlab读取压电式脉搏传感器数据，并发送至串行助手程序(matlab read piezoelectric the pulse sensor data, and sent to the serial assistant program)

对原始图像在水平方向和垂直方向与2个滤波器(低通、高通)相卷积，可以得到4块面积为原图像1/4的子图，分别为水平方向低频和垂直方向低频(HH)、水平方向低频和垂直方向高频(HG)、水平方向高频和垂直方向低频(GH)、水平方向高频和垂直方向高频(GG)。(The original image in the horizontal direction and vertical direction and two filters (low pass, high pass) with convolution, you can get the original image area of 4 1/4 graph, respectively, horizontal and vertical direction low frequency ( HH), horizontal and vertical high-frequency low-frequency (HG), horizontal and vertical high-frequency low-frequency (GH), horizontal and vertical high-frequency high-frequency (GG).)

QuadraticQuaassemble 的源程序 matlab有限元分析源程序 (QuadraticQuaassemble source matlab source Finite Element Analysis)

该实验描述的接收机行为。仿真发射信号在AWGN信道的传播及在接收端的检测。(The experiment described in the receiver behavior. Simulation transmitted signal in AWGN channel propagation and detection at the receiving end.)

信息融合中的许多数据关联算法计算量大, 工程中难以保证实时性和有效性。本文就这一方面展开研究, 给出了可以满足工程实际需要的有效算法, 设计出相应的系统。通过实际系统应用, 可以获得满意的融合结果和较快的计算速度。(The comput ation quant ity of many data correlation algorithm is great in the information fusion. It is difficult to guarantee the computing speed and the validity in real time processing. By studying on this hand, this article launches the research, produces the effective algorithm suit to real engineering. The corresponding system is designed. Through the actual system application, the satisfaction the fusion result and a quicker comput ation speed is obtained.)

SA C# code for six hump camelback function

美国车牌的自动识别的图像分割的实验，Virginia Polytechnic Institute and State University的英语毕业论文，写的较好。(EXPERIMENTS IN IMAGE SEGMENTATION FOR AUTOMATIC US LICENSE PLATE RECOGNITION)

说明：  混沌时序多步预测函数 chen函数的matlab仿真，非常有用，连续的非线性函数(Multi-step prediction of chaotic time series function chen function matlab simulation, very useful, continuous nonlinear function)

基于PCA的iris数据集分类，matlab实现，大家共同学习。(Iris data set the PCA-based classification, the Matlab implementation, we learn together.)