D10248025

本程序给出了从背景中分离出行人的matlab源代码.采用提取好的背景和行人的HOG特征,而这些特征又分为未分块和分块两组,所谓分块就是将图片进行细分,提取的特征更细.最后用最小欧氏距离法分类.(This procedure gives the background to separate from the travel people matlab source code. By extracting a good background and pedestrian HOG features, and these features are not divided into blocks and blocks Liangzu, the so-called sub-block is to carry out detailed pictures points, the extracted features more detailed. Finally, the smallest Euclidean distance classification.)

The book is about internet based control systems in which the control action and sensor information are transmitted through the internet.

MATLAB中进行关于智能车的PID参数调节例程.(MATLAB, on the smart car to adjust PID parameters of routine.)

matlab code for min phase wavelet generation

一个自己编的的matlab图像处理程序，选定感兴趣区域，并进行滤波。(failed to translate)

pso算法的代码，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值，(PSO algorithm code is based on an iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values,)

不同信噪比下的信道仿真，只是M文件，是不同的仿真(Different SNR channel simulation Different SNR channel simulation Different SNR channel simulation )

实现SPHIT编码，有n=5~2时的编码输出值！！(SPHIT coding show the output with n =5.....2)

“袋子模型”特征描述演示，有注释，以及人脸库(bag of the words demo)

由于多径和移动台运动等影响因素，使得移动信道对传输信号在时间、频率和角度上造成了色散，如时间色散、频率色散、角度色散等等，因此多径信道的特性对通信质量有着至关重要的影响，而多径信道的包络统计特性成为我们研究的焦点。根据不同无线环境，接收信号包络一般服从几种典型分布，如瑞利分布、莱斯分布和Nakagami-m分布。(Because multipath and mobile and other sports influence factor, makes mobile channel in transmission in time and frequency signal and Angle caused the dispersion, such as time dispersion, frequency dispersion, Angle dispersion, and so on, thus multipath channel of communication with the characteristics of quality is very important, while the effect of multipath channel (the statistical properties become the focus of our research. According to different wireless environment, receiving signals envelope general subject to several typical distribution, such as Rayleigh distribution, rice distribution and Nakagami-m distribution. )