GA

说明：  自动化指纹识别，操作简便，代码运行快捷。(fingerprint identity)

对每一路图像进行小波变换，分别到其水平、垂直、四十五度角方向的高频分量以及其低频分量，得到每路图像的小波金字塔； 按取较大值的原则对两幅图像的不同层次、不同特征层的信息图分别进行融合； 根据融合的各图像分量的小波序列，进行小波逆变换，得到最后的融合图像。 (Road images of each wavelet transform, respectively, to its horizontal, vertical, 45 degree angle the direction of high-frequency components as well as its low-frequency components obtained for each road image wavelet pyramid according to the principles of taking a larger value of the two images different levels of information mapping feature level fusion respectively the basis of integration of various components of the wavelet image sequences, inverse wavelet transform, to be the final fusion image.)

这是个卡尔曼滤波的递推程序，是用MATLAB实现的，很有用出的，希望对大家有所帮助(This is a recursive procedure of Calman filter is implemented in MATLAB, a useful, and they hope to help everyone)

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.

在做复合形法优化时，用到《精通MATLAB最优化设计》一书中的复合形法程序，发现做其他例题时运行不了。去掉bug后，改进如下，如果你遇到同样问题，不妨下来试试。如果你没有Funval.m，可以将程序中的Funval函数换成subs(In doing complex method optimization, use the " Mastering MATLAB Optimization Design," a book of complex method program, found other examples can not do when running. After removing the bug, improvements are as follows, if you encounter the same problem, we might try it. If you do not Funval.m, the program can be replaced by a function of Funval subs)

说明：  直接将ECG信号转换为HRV信号，具体阈值可以通过人工调节，识别率很高，采用自适应差分阈值法和小波变化结合(The ECG signal is directly converted into HRV signal, the specific threshold can be adjusted manually, and the recognition rate is very high. The adaptive difference threshold method and wavelet change are combined.)

orthogonal frequency modulation technique complete code

说明：  fft分析程序，可以完成对输入信号的谐波分析，得到谐波的频率和幅值(fft analysis program, to be completed on the input signal harmonic analysis, harmonic frequency and amplitude)

用龙格库塔发解二阶微分方程，共三个小程序，初学者可以直接调用龙格库塔源程序(With solutions of second order differential equations Runge-Kutta hair, a total of three small programs, beginners can directly call the Runge-Kutta source)

DCT变换：变换域系数选取采用阈值编码，：阈值越小，图像恢复效果越好，但压缩效果差，一般取在5-10 即可很好的获得恢复图像信息。(DCT transform: transform domain coefficients selected using the threshold coding: the smaller the threshold value, the better the image restoration, but the compression is poor, and generally in the 5-10 to get a good recovery image information.)