dynamic-meterology-chapter-three

principal component matlab code.

methods of Intelligent Systems and Intelligent Computing, very intersting and very useful for beignners.

optimization problem solve with matlab by amin zafarian

样本熵的matlab源代码，可以求出样本的熵值(Sample Entropy)

本人编写的BPAmatlab程序，用于神经网络学习。(I prepared BPAmatlab procedures for neural network learning.)

When capturing an iris image under unconstrained conditions and without user cooperation, the image quality can be highly degraded by poor focus, off-angle view, motion blur, specular reflection (SR), and other artifacts. The noisy iris images increase the intra-individual variations, thus markedly degrading recognition accuracy. To overcome these problems, we propose a new iris recognition algorithm for noisy iris images.

This file used for WLAN network theory

dct变换的融合方法！～～ ～～ ！～～！??　 ?　? (DCT transform fusion method! ~ ~ ~ ~! ~ ~! ? ? ??)

智能天线 自适应非盲算法lms，用MATLAB便携而成(Non-blind algorithm for smart antenna adaptive lms, made portable with MATLAB)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.