juanji

Fade detection in matlab

入侵性杂草算法，连续型，多目标，多维函数优化。(invasive weed 0ptimization is a good optimal tools for any continual problem. IWO has been successfully applied to several electromagnetic optimization problems)

Article for use in porwer systems implemented in Matlab

在移动数据通信系统信号经传播媒介到达接收端会发生畸变，现行的通信系统普遍采用 自适应均衡技术来克服ISI和多普勒扩展。自适应均衡技术需要重复发送已知的训练序列直至 有效均衡为止I。“盲均衡(Blind Equalization，BE)111”技术仅利用接收序列本身的相关性便可 均衡信道特性。(Signal in the mobile data communication systems to reach the receiver via the mass media distortion occurs, the existing communication systems are generally adaptive equalization to overcome ISI and Doppler spread. Adaptive equalization techniques need to send a known training sequence repeated until an effective balance date I. " Blind equalization (Blind Equalization, BE) 111" technology is only used to receive serial correlation in itself can be balanced channel characteristics.)

PLSAMA MATERIAL PROGRAME

排队论轮询算法的matlab性能仿真，包括简单轮询算法和加权轮询算法，比较10个节点网络的生存时间，自己写的代码~(Queuing theory polling algorithm matlab performance simulation, including a simple algorithm and weighted round robin polling algorithm and compare 10 node network lifetime, write your own code ~)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

the transsation of image through cannel in ofdma

aco feature selection

QPSK system simulation not working