Ggarch_liikea

Spectrum Digital tests example dm365

START RAT远控源码START RAT远控源码START RAT远控源码START RAT(START START RAT RAT far point source code remote control the source code START START RAT RAT far point source code)

在对复杂网络系统可靠性优化配置方法研究的基础上,编制出系统可靠度优化配置计算机程序.(in the complex network configuration system reliability optimization method on the basis of produce distribution system reliability optimization computer program.)

markov逻辑网的实验工具包alchemy(markov logic networks alchemy lab kit)

舵机的具体控制，方法简单实用，程序量小，经调试好使。(The specific servo control method is simple and practical procedures for a small amount so that by the debugging.)

真對freecale的Imax31的hotkey事件控制,知道如何去控制(for hotkey event control of IMAX31 of CPU of freescale)

好东西大家分享，希望可以给大家帮助，谢谢！(Good things to share, hope can give you help, thank you!)

说明：  各类电能质量扰动函数表达式，可以方便的对电能质量进行建模，便于后续算法分析。(Expressions of various power quality disturbance functions)

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)

Dicar6000 Injector Test Program