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Adaptive Filtering Primer with MATLAB Poularikas and Ramadan 2006 Code Examples and informations in Matlab for Adaptive Filtering

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

DCT域QIM音频隐藏技术的实现——信息隐藏技术 (QIM realize DCT domain audio hiding techniques- Information Hiding)

说明：  非常好用的直方图均衡程序。把图片名字改成自己的图片名字即可。(Histogram equalization )

说明：  一个matlab程序,是一条分形线函数的动态绘制,对数学分形编程有很大启发作用.(a Matlab procedure is a fractal function of the dynamic line drawing, right fractal mathematical programming with inspirational role.)

产生线性调频信号以及均匀脉冲截断的线性调频信号，并分别生成频谱(It generates the lfmcw signal and the lfmcw signal modulated by the uniform pulse sequence, and it also generates the frequency attribution of the two signals.)

This program is used to Calculate z transform, s transform..etc

上传一个判断传递函数的稳定性的程序，当传函零极点位于虚轴右侧时系统不稳定，输出不稳定提示，系统稳定时输出稳定系统的传函。(Upload a function to determine the stability of the program transfer, the transfer function when the right side of the imaginary axis pole-zero when the system is unstable, unstable output prompt, the output transfer function to stabilize the system when the system is stable.)

用matlab编写的找两个输入量之间的主要特征向量,主要方法采用PCA经典算法.(using Matlab prepared for the volume between two input of the main features of Vector, mainly using PCA classical algorithm.)

Load test (black) video in Matlab and export the information on the brightness of individual images.