ber_comparison

利用matlab将帧视频嵌入水印，实现效果良好。(Video frames using matlab to embed a watermark to achieve good results.)

基于matlab的判决反馈的均衡器，通过此程序可以了解均衡器的基本编程方法(This program can understand the basic programming methods equalizer matlab' s decision feedback equalizer)

Libelas(大规模高效立体匹配库)是cross-platfrom c++ 图书馆与MATLAB计算包装差异大的地图图像。输入 是一双纠正灰度立体图像的大小相同。输出相应的 差距的地图。(Libelas (LIBrary for Efficient LArge-scale Stereo matching) is a cross-platfrom C++ library with MATLAB wrappers for computing disparity maps of large images. Input is a rectified greyscale stereo image pair of same size. Output are the corresponding disparity maps.)

matlab FE that assign force for post processing

利用4 PAM映射计算误码率 （caclulating BER with 4 PAM mapping, srrc pulse shaping）

曲线拟合和多项式拟合-1，主要用于工程计算，工程优化。(Curve fitting and polynomial fitting, is mainly used for engineering calculations, engineering optimization.)

matlab入门教程，主要介绍了基本运算与函数，流程控制，环境设置及二维画图等。(matlab Getting Started tutorial introduces the basic operations and functions, process control, environmental settings, and two-dimensional drawing and so on.)

ofdm simulation, cantains ber, snr. it s short code ofdm mimo, wimax wide.

BPSK的算法仿真，自己编写的，文章IEEE(BPSK algorithm simulation, I have written, the article IEEE)

说明：  交通视频采集后的图像预处理。由于硬件及环境等因素的影响，摄像头提取的图像不可避免地包含噪声，图像的质量会受到不同程度的失真。因此，我们要对采集到的视频序列进行图像的预处理。 车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法：帧差法、光流法，总结了各种方法的优缺点，并采用背景差法对车流量进行检测。该算法自适应能力强，计算量小，可正确判断有无车辆、完成车辆计数，实现车流量计算，为交通监管系统提供实时有效的交通参数。 车辆计数。分析常用的车辆计数方法：虚拟线圈法和目标跟踪法。并结合具体的实际应用采用基于检测带的车辆计数方式。结果表明，该方法能很好的进行车流量统计。 (Image pre-processing traffic after video capture. Due to hardware and environmental factors, the camera inevitably contain the extracted image noise, image quality will be subject to different degrees of distortion. Therefore, we want to capture the video sequence image preprocessing. Vehicle detection algorithm. General analysis of several common vehicle detection algorithm based on image processing: frame difference, optical flow, summed up the advantages and disadvantages of each method, and using background subtraction to detect traffic flow. The algorithm is adaptive ability, a small amount of calculation can correctly determine whether the vehicle, the vehicle should count to achieve traffic flow calculation provides effective real-time traffic parameters for a traffic monitoring system. Vehicle counting. Analysis of common vehicle counting methods: virtual coil method and target tracking method. Combined with concrete and practical applications based on vehicle detection with )