mimo_antenna_systems

This method is used for tracking wavelet/optical flow-based detection for automatic target recognition in the following paper: Dessauer, M. and Dua S. “Wavelet-based optical flow object detection, motion estimation, and tracking on moving vehicles”

最新emd程序。法国学者的emd程序经多次修改，不断完善，该版本为07年4月最新版。(latest procedures. French scholars emd procedure has been revised many times, continuously improved version of the April 07 date.)

matlab m file program

说明：  读取数值数据与非数值数据相混合的文本文件，包括用空格间隔和用逗号间隔开的两类数据(Read numeric data mixed with non-numeric data text file, including the comma with a space spaced intervals and two types of data)

混沌系统van_der_pol控制器的仿真程序,可以通过此程序仿真van_der_pol控制器的混沌系统及仿照此程序仿真其它混沌系统。(The synchronization of chaos system by van_der_pol control.)

PM模型是由日本大阪心理学家三愚二不二在前人的基础上创建的，本程序通过MATLAB实现该模型。(The PM model is created on the basis of the previous three stupid two Fuji of Japan s Osaka psychologist, the program MATLAB to implement the model.)

本案例基于MATLAB的GUI工具进行设计仿真实验：通过对采集的车牌图像进行灰度变换、边缘检测、腐蚀及平滑等过程来进行车牌图像预处理，并由此得到一种基于车牌颜色纹理特征的车牌定位方法，实现车牌区域定位，最后实现车牌字符的分割与识别。(In this case based on MATLAB GUI design simulation tool: through the license plate image capture through gradation conversion, edge detection, corrosion and smoothing process for the license plate image preprocessing, and thereby obtain a color texture features based on license plate the method of license plate location, license plate positioning to achieve, and finally realize the segmentation and recognition of license plate characters.)

Automatic Histogram Threshold Using Fuzzy Measures This is the IEEE paper of image processing useful for further research

数字高程模型（DEM)移动插值算法，计算单个点(Digital elevation model (DEM) mobile interpolation algorithm to calculate a single point)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)