LBG

Bayesian Object Detection in Dynamic Scenes

njust随即信号处理课件，最新最全面版本，需要研究随即信号的同学的必备！(njust Random signal processing )

在matlab上的Asift程序，在原有基础上有所改进，程序可以出色地实现图像的识别，匹配，效果相比SIFT，SURF等有大幅提高(In matlab Asift program improvements based on the original, the program can achieve excellent image recognition, matching, compared to the effect of SIFT, SURF, etc. have greatly improved)

自己编写的基于惯性权重线性递减策略的粒子群算法优化聚类(My own particle swarm optimization algorithm based on the linear decreasing inertia weight strategy applied to cluster.)

This is a master thesis on fingerprint identification system. This has matlab code in appendix also.

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

David G. Stork，Richard O. Duda，Peter E. Hart《模式分类》Matlab程序工具箱，适合参考教材进行学习(David G. Stork, Richard O. Duda, Peter E. Hart " Pattern Classification" Matlab Toolbox program, suitable reference materials to learn)

添加随机白噪音方法,用于时序仿真分析，仅供参考！(Add noise for simulation)

一个滤波器的设计，大家看看了！！！！！！！！！！！！！(filter)

有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析(supervised self-organizing map- Partial Least Squares (A supervised self-org anising map- partial least squares algorithm) , terms of the multi- variable regression analysis of data)