PCA-tutorial

说明：  若非奇异矩阵A能够分解为一个正交矩阵Q与非奇异上三角矩阵R的乘积，即： A=QR。则称其为A的QR分解。 实现QR分解的方法有很多种，包括Givens变换法，Householder变换法，Schemit正交化法。具体原理可以参考《矩阵论》（程云鹏，西工大出版）教材，这里仅给出三种实现QR分解的程序。(If nonsingular matrix A can be decomposed into a product of orthogonal matrix Q and nonsingular upper triangular matrix R, that is: A=QR. It is called QR decomposition of A. There are many methods to realize QR decomposition, including givens transformation, householder transformation, and scheme orthogonalization. The specific principle can refer to the teaching materials of matrix theory (Cheng Yunpeng, published by Xigong University). Here, only three kinds of QR decomposition procedures are given.)

说明：  Matlab demonstration script for DSB-AM modulation.

3-8译码器，可以讲三位二进制输入转换为8中取1的输出信号(3-8 decoder, you can talk about the three binary input is converted to 8 of the output signal from 1)

带可调渐消因子的无迹卡尔曼滤波程序MATLAB仿真实例(With adjustable fading factor unscented Kalman filtering procedures MATLAB simulation examples)

数字滤波器的实现，矩形窗、汉宁窗、海明窗、布莱克曼窗等窗函数 (The realization of digital filters, rectangular window, Hanning window, Hamming window, Blackman window functions such as window)

examples contain source codes about PID control

PDF+论文算法实现源代码"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse"由莱斯利N.史密斯和迈克尔·埃拉德，IEEE信号处理快报（2013年）(PDF+ thesis algorithm source code " Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse" by the Er Ai Leslie N. Smith and Mike Ladd, IEEE Signal Processing Letters (2013))

VC++ and Matlab混合编程的快速实现(VC++ And Matlab Mixed Programming rapid realization of)

一个带有前馈的卡尔曼滤波器matlab程序,写得不错，果断分享。(With a feedforward Kalman filter matlab program, written in good, firm share.)

A basic PCA classifier is provided here for a two class classification problem. An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are detected by the PCA model.