PlantIdentification

在matlab环境下，基于RGB，HSV模型的图像检索技术(In the matlab envirament , picture find based on the RGB and HSV model)

matlab program based on newton method, nonlinear equations

A new method of itertions for dictionary traning via KSVD

一篇比较好的英文介绍编程的文章,里面包含很多有用的知识，很难下载。(a good English paper for programming。it includes much useful knowledge and it is hard to download it)

滤掉低频段和高频段频率，分波段滤波，过滤掉噪声干扰，绘制功率谱密度曲线(Filter out the low and high frequency bands, filter in different bands, filter out the noise interference, and draw the power spectral density curve.)

说明：  ：本文通过对伽尔顿板实验的过程及结果与混沌运动的特征进行比较分析，说明伽尔顿板实验不仅 是使人们认识多粒子无规则运动中粒子遵循统计规律的典型，还可以作为说明混沌运动特征的很 好示例。(: Based on the Jiaer Dun board process and results of experiments with the chaotic motion of a comparative analysis of the characteristics that Mingjiaerdun plate test is not only to create awareness of multi-particle random motion of particles follows the typical statistical law, but also as an illustration Characteristics of a good example of chaotic motion.)

matlab小波包的使用，包括图像处理和信号处理的内容程序(Matlab wavelet packet, including the use of image processing and signal processing procedures for the content)

duffing振子数值建模,学习仿真，非线性动力学(study duffing Oscillator numerical modeling, learning simulation, nonlinear dynamics)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

该程序产生MSK和GMSK复基带信号，并在同一图中作出二者的功率谱，对处理实际信号时非常有帮助(The complex base signals of MSK and GMSK are produced, respectively. The power spectral density of the two signals are darwn in the same figure, which really helps for pratical signal processing)