gplab.3.bugfixes.20090608

灰色预测模型算法的程序设计方法，可实现未来数据预测功能(Gray prediction model algorithm programming method can achieve future data prediction function)

费歇算法 用于模式识别等其他　工程应用方面的　问题　应用效果　良好(Fisher algorithm for pattern recognition and other aspects of engineering applications a good application effect)

通过编写C语言，在MATLAB上实现路由器仿真,实现路由器的功能。(Written by C language, simulation on MATLAB implementation routers, realize the function of the router. )

用巴特沃斯方法和切比雪夫方法做的数字带通滤波器(Bandpass filter using the method of Butterworth and cut the number of Chebyshev method )

vc++与matlab混合编程的快速实现 (vc++ with matlab the rapid realization of mixed programming)

PCA程序，用于信号的主分量分析，用过几次，感觉不错(PCA program, the main component for signal analysis, used a few times, I feel good)

converted ga matlab code to c++ for solving scheduling problem

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

SIAM.Data Clustering.Theory.Algorithms and Applications.2007

说明：  A PHOTOVOLTAIC PANEL MODEL IN MATLAB/SIMULINK