MATLAB_GPS_example

This is function matlab provides, bio-medical function. files include: allCode.m breastcancer.mat flicker.mat medfiles.mat myfit.m plotcluster.m sulfate.mat

This program detetc the skin color and track using a web cam.

CA CODE Copyright (c) 2008, Dan Boschen All rights reserved. Redistribution and use in source and binary forms,

说明：  关于压缩感知理论综述性的中文期刊论文，包括理论原理与应用，以及该理论的研究现状和公开性问题等。(Review on the theory of compressed sensing of Chinese journal articles, including theoretical principles and applications, and research status of the theory and openness issues.)

robot intelligente control_chapiter 11

声波传输损耗，有利于节约你的时间，希望广大爱好程序计算者喜欢 (acoustic transmission loss)

1 设计一个ＦＩＲ数字低通滤波器， 满足一组模拟滤波器的指标参数；分别采用三角窗、hamming窗、blackman窗和kaiser窗进行设计。比较不同窗的设计效果。要求描绘滤波器的脉冲响应、窗函数以及滤波器的幅频和相频响应曲线。 2. 用上述设计滤波器完成几组给定信号的滤波。 3.设计数字高通、带通、带阻滤波器，要求描绘滤波器的脉冲响应以及滤波器的幅频和相频响应曲线。 (1、A design of a FIR digital low-pass filter, analog filters to meet the target of a group of parameters were used triangular window, hamming window, blackman windows and kaiser window design. Window to compare different design effect. Requirements described impulse response filter, window function and the filter amplitude-frequency and phase frequency response curve. 2. Using the above filter was designed to complete several sets of a given signal filtering. 3. Design of digital high-pass, band pass, band-reject filter, the filter impulse response described demand as well as the filter amplitude-frequency and phase frequency response curve.)

新手学习MATLAB画图很好的例子，程序直接复制到MATLAB中就可以运行。(MATLAB drawing newcomers to learn a good example, be copied directly into MATLAB programs can run.)

import dalvik.annotation.TestTargetClass for Andriod.

(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN 威胁评估的 MPC UAV 路径规划算法。通过多组仿真分析表明，在三维动态环境下，特别是威胁尾随无人机时，基于 DBN 威胁评估的 MPC无人机路径规划算法可以得到有效的无人机路径。(The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessment.Considering the problem of path planning when the dynamic threat tags the UAV,the MPC path planning algorithm combined with DBN threat assessment is presented,which used the threat lever probability to describe the threat situation.A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.)