xz_OPF

H桥控制的simulink仿真模型，可以作为直流电机控制系统设计的参考模型(H-bridge control of the simulink simulation model can serve as a DC motor control system design reference model)

pmsg based off shore windfarm

心电图的特性描述，可用matlab实现。(ECG characterization, available matlab achieve.)

多幅图像在同一窗口的显示以及一些基本图像的绘制(Image display and some basic image rendering)

说明：  在matlab环境下，实现小波变换对信号处理方面的试验。(In the matlab environment, the realization of wavelet transform for signal processing experiments.)

根据苹果参数的不同，进行苹果等级的分类，并且对照实际期望值进行对网络的检验(The different parameters according to Apple, the Apple level of classification)

这是一个关于商人visit许多城市，怎样走法才能使距离最短的例子，采样的了退火算法的经典案例(Traveling Salesman Problem (TSP) has been an interesting problem for a l me in classical optimization techniques which are based on linear and nonlin ogramming. TSP can be described as follows: Given a numberof cities to v d their distances from all other cities know, an optimal travel route has to und so that each city is visited one and only once with the least possible dista aveled. This is a simple problem with handful of cities but becomes complica the number increases.)

神经网络，可以运行成功 主要用于图像的分类等方面(Neural Network examples)

这是gsm系统中无线帧成型matlab仿真程序，上传给大家学习和参考。(This is a system of wireless frame molding gsm matlab simulation program, upload for everyone to study and reference.)

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.