MME-stegonography-matlab

这里是通信领域中各种基带信号（非常全，几乎最新的都有），用matlab编写，给出了相应的带宽和功率谱密度，很值得学习通信的看看(Here are the various communications baseband signal (very full, almost all the latest), written with matlab, the corresponding bandwidth and power spectral density, it is worth learning to see communication)

《小波分析理论与Matlab 7实现》书中每个章节的例程源代码，对初学者非常有用(" Wavelet analysis theory and Matlab 7 to achieve," the book each chapter of the routine source code is very useful for beginners)

说明：  两种matlab图像嵌入VC界面的实现方法，pdf文档，需要的下载(Matlab image of two embedded VC interface implementations, pdf document)

在数值方法中，用Matlab实现Gaussian Hermite， 此方法用来计算数值积分(Gaussian Hermite)

采用不同样本进行语音特征提取，来实现不同说话人身份的识别(Different samples of voice feature extraction to achieve recognition of different identities speaker)

非常适合计算机视觉方面的研究使用,数据模型归一化，模态振动，有小波分析的盲信号处理。( Very suitable for the study using computer vision, Normalized data model, modal vibration, There Wavelet Analysis Blind Signal Processing.)

说明：  本压缩包是对资料进行整合，整合内容均可用。包括快速emd eemd等资料(This compression package is for data integration, and the integrated content is available. Including fast EMD EEMD and other data)

说明：  物元分析法由我国数学家蔡文在 20 世纪 80 年代提出． 应用物元法建立多指标评价模型，可以针对复杂问题建立形象化模型，定量化得出评价结果，从而较完整、准确地反映事物的综合水平。利用matlab编程，进行如下步骤计算：1、待判物元的确定；2、经典域、节域的确定；3、关联函数；4、综合关联度(Matter-element analysis method was put forward by Chinese mathematician Cai Wen in 1980's. Applying matter-element method to establish multi-index evaluation model can establish visualization model for complex problems and quantify the evaluation results, so as to reflect the comprehensive level of things more completely and accurately. Using MATLAB programming, the following steps are calculated: 1. determination of the subject element to be judged; 2. determination of classical domain and node domain; 3. correlation function; 4. comprehensive correlation degree)

钢筋、火柴根数的统计，阈值分割、直线检测，hough变换(Steel, matches the statistical number of roots, threshold segmentation, line detection, hough transform)

基于Relief算法的特征权重选择，有效地选择出了权重数据。(Relief algorithm based on the characteristics of the right to re-select to choose a weight data. )