ch7

实现MUSIC谐波分解,对于多个频率的估计(Realize MUSIC harmonic decomposition)

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.

Directory tree accounting is implemented using project quotas, where the project identifier is inherited from parent directories.

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A Full Performance Analysis of Channel Estimation Methods for Time Varying OFDM Systems

介绍怎样制作机器人，包括硬件制作 系统建模　控制算法()

对典型混沌进行仿真，有程序，图像，明白易懂(Simulation of typical chaotic)

MATLAB数字图像处理,彩色图像均衡化(MATLAB digital image processing, color image equalization)

说明：  regulateur flou de la machine asynchrone

基于PSO的多目标优化问题，两个目标函数，一个公共变量的问题(PSO )