test2012_5_7_16_18

iris feature extraction with log gabor

overlapping speech segments

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

让ARToolKit支持MQO模型所需的所有函数实现代码，均在对应的GLMetaseq.c中。(Let ARToolKit supports all the functions needed to MQO model codes, both in the corresponding GLMetaseq.c.)

Matlab自带的Simpowersystems电力仿真环境的指导材料。值得大家参考。(Matlab comes Simpowersystems guidance material power simulation environment. Worthy of your consideration.)

进退法 罚函数法 0.618方法程序过程 分别用matlab以及c两种语言(0.618 retreat France penalty function methods and procedures to process)

Error calculation set. For statictic purposes

Beamformer design for Zero Forcing and Dirty Paper Coding

这是一个matlab主程序，介绍的是几种混沌系统吸引子的图像的主程序(This is a matlab main program, introduced several chaotic attractor is an image of the main program)

小波光谱去噪源代码，包含三种阈值去噪方法和误差分析(Wavelet Spectra Denoising source code, including the three threshold denoising method and error analysis)