Conv-OFDM-BPSK

这是一个MATLAB环境下使用的粗糙集工具箱(ROUGH SET)

模糊层次会关联分析法，很好的评价方法主客观结合复制(The fuzzy hierarchy will relational analysis, a good evaluation methods)

digital watermarking is a process by which a user-specified signal is hidden or embedded into another signal , for example digital content such as electronic documents, images, sounds and video [2]. The use of digital video applications such as video-conferencing, digital television, digital cinema, distance learning, videophone, and video-on-demand has grown very rapidly over the last few years. Today it is much easier for the digital data owners to transfer multimedia data over the internet, and hence the data could be perfectly duplicated and rapidly redistributed on a large scale. Thus, the importance of copyright protection for multimedia data has become more critical. Digital watermarking is an effective way to protect the copyright of multimedia data even after its transmission there is urgent demand for techniques to protect the original digital data and to prevent unauthorized duplication or tampering.

说明：  基于LDA的人脸识别源代码，可以很方便的实现人脸识别(LDA-based face recognition source code, can easily realize face recognition)

说明：  Matlab语言常用算法程序集.rar 里面有很多有用的Matlab数值运算示例程序 值得参考！(Matlab language commonly used algorithm for assembly. Rar there are many useful examples of Matlab procedures for numerical computation it is also useful!)

本程序是雷达恒虚警模块的仿真程序，可用于雷达CFAR检测(This procedure is a radar CFAR module simulation program can be used for radar CFAR detection )

ALVINN road follower data set

戴维.鲁伯特的统计与金融一书的matlab代码( matlab code of<statistics and finance >by David Rupert )

运动捕获数据周期运动，用于做运动分割或关键帧提取(Motion capture data periodic motion, used to make motion segmentation or keyframe extraction)

说明：   基于matlab 的叠加高斯白噪声的正弦信号频谱分析，给定正弦函数x=sin(2πf0n/N+π/3)+sin(2πf1n/N+π/4)，设定f0.f1的值，加了噪声之后做快速傅里叶变换，在matlab中分析其频谱，验证是否与f0,f1的值符合。再变换N值，看随着N值的变化对应点是否符合及有何变化。(Matlab based on the superposition of Gaussian white noise sinusoidal signal spectrum analysis, given the sine function x = sin (2蟺f0n/N+蟺/3)+sin (2蟺f1n/N+蟺/4) set value of f0.f1, do a quick noise Fourier transform to analyze the spectrum in matlab, verify that with f0, in line with the value of F1. Transform the value of N, see change as the value of N corresponding points of compliance and what changes.)