CIE_MATLAB

Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

初学最大流最小割的几个很有用的参考资料，详细介绍了它的应用，很有帮助哦！(Maximum flow minimum cut beginner several useful references, details of its application, very helpful Oh!)

this is for bit plane mapping... it produces 7 outputs with bit plane....

不敏卡尔曼滤波器，主要应用于非线性系统的跟踪。(UKF)

Depicts satellite positions and orbits for GPS constellation. Uses a csv file with GPS Kepler elements.

matlab环境下，对输入的语音信号，提取其mfcc特征参数子程序。(matlab environment, the input speech signal, to extract the mfcc characteristics parameters subroutine.)

implementacion de un algoritmo para el puzzle 8

pid控制程序，基于matlab环境开发，开自行修改(matlab)

直方图均衡化，适用于matlab对某一幅特定图像的增强处理(Histogram equalization, apply a matlab for a specific image enhancement processing)

Deblurring Images - Matrices, Spectra, and Filtering