DWT_OFDM

余弦波是渐变的，当ωt+φ的取值变化量很小时，Y的变化量也是很微小的。余弦波的这一特性保证了嵌入水印后相邻字符灰度值差别不大，人眼无法识别，从而保证了水印的不可见性和图像质量。(Cosine wave is gradual, and when ωt+ φ values variation is very small, Y amount of change is very small. Cosine waves This feature ensures that watermarked gray value of adjacent character is not very different, the human eye does not recognize, thus ensuring the invisibility of watermark and image quality.)

贝叶斯压缩感知，一种新的压缩感知，主要是解决信号的重构问题(Bayesian compressed sensing, a new compressed sensing, mainly to resolve the signal reconstruction problem)

最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。 费雪评分（Fisher评分） 围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox)

模态参数的时域识别方法，即在时间域内识别试验结构模态参数。(Time-domain modal parameter identification method, that is, the structure in time domain modal parameter identification experiments.)

qam 16 reseiver diversity matlab file

windows网络与通信程序设计的相关源程序哦,很不错的(windows network and communications procedures related to the design source Oh, very good!)

Project of my mtech partner computer store

matlab与HFSS接口例程,适用于matlab中建立模型，在HFSS中仿真模型的电磁特性(matlab and HFSS interface routines for matlab in modeling, simulation model in HFSS electromagnetic properties in)

matlab for machine learn project cancer

基于PCNN的图像融合，用matlab编写实现的。(PCNN-based image fusion, written with matlab implementation.)