fuzzypid

matlab与vc联合编程 实现图形的动态显示(matlab and graphics vc joint programming to achieve the dynamic display)

mapwindow6的源码。对于学习提高非常有用(mapwindow6 source. Very useful for learning to improve.)

光伏并网系统中的双逆变器拓扑结构及其控制策略研究(dual-inverter topology and control strategy for Grid-connected PV application )

code alamouti mimo matlab

短时傅里叶变换的Matlab程序代码，短时傅里叶变换时最经典的时频分析方法(Matlab code short time Fourier transform, short-time Fourier transform of the most classic time-frequency analysis)

CPN网络，即对向传播网络，是将Kohonen特征映射网络与Grossberg基本竞争网络相结合，发挥各自特长的一种新型特征映射网络。(CPN network, the right to communication networks, Kohonen feature is the mapping of network and basic Grossberg competing networks combined play to their strong points of a new feature mapping network.)

从网上看到了matlab实现的自适应中值滤波，用C++改写了一下。(Adaptive Median, matlab version to C++ version.)

在matlab中用高斯—勒让德方法求二重积分(Seeking double integral using Gauss method in matlab)

说明：  matlab高效编程程序源代码第十一章，可以运行。(efficient programming source code matlab Chapter XI, you can run.)

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)