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模态参数的时域识别方法，即在时间域内识别试验结构模态参数。(Time-domain modal parameter identification method, that is, the structure in time domain modal parameter identification experiments.)

说明：  关于图像处理仿真软件环境下的源程序，毕设中自己用过的，希望对你有用(On image processing simulation software environment of the source, complete set used in their hope that useful to you)

跟之前属于一类的 一本通信仿真书里面的内容光盘及代码(failed to translate)

说明：  Matlab radar codes it is helpful to understand the basic level of radar working principles

利用T2FNN進行MEC建模,針對IC散射現象進行量測與模擬比較(Type 2 fuzzy neural network for EMC)

MATLAB Stellaria Demo APPS

电力系统规划多目标遗传算法程序matlab程序(Multiobjective genetic algorithm)

chopper fed dc motor

说明：  一种基于正交频分复用系统，存在定时偏差时的系统性能代码(based on orthogonal frequency division multiplexing system, there are regular deviation of system performance code)

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)