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说明：  这是用matlab编写的关于人脸识别的基于pca的完整程序，非常实用(This is prepared using matlab on pca-based face recognition of the integrity of the process, very useful)

Cohen类时频方法采用不同的核函数来抑制交叉项，本质上是在模糊域对信号进行低通滤波，其中典型的方法有Choi-Williams 分布和Cone-shaped 分布等。(The Cohen time frequency method uses different kernel functions to suppress the cross term, which is essentially a low pass filter for the signal in the fuzzy domain. The typical methods are Choi-Williams distribution and Cone-shaped distribution.)

说明：  基于mean-shift运动目标跟踪matlab源代码(Based on mean-shift object tracking matlab source code)

说明：  基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)

说明：  全景图像拼接的源代码，可将多幅照片拼接为周视全景图像，很不错。(Panoramic image mosaic of the source code, multiple photos can be spliced for the week as the panoramic image, very good.)

SRM空间富模型隐写分析算法,选区高维特征，使用集成分类器进行训练(Spatial Rich Model Steganalysis Algorithms, Selection of High-Dimensional Features, Using Integrated Classifier for Training)

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式,融合了自组织和有导师监督的技术,学习方法是竞争的,但(LVQ (Learning Vector quantization) algorithm: it is an extended form of supervised learning of Kohonen, which combines self-organizing and supervised techniques. The learning method is competitive, but the)

Read jpeg rgb color structure

说明：  这是个qt绘制贝塞尔曲线的介绍文档，适合新手学习。(This is a QT drawing Bessel curve introduction document, suitable for novice learning.)

一维数据的Kalman滤波处理，线性卡尔曼滤波的Simulink仿真(Kalman filter processing for one-dimensional data, Simulink simulation for linear Kalman filtering)