controladorPDI

一种改进的灰色系统理论进行非线性系统的预测，验证可用(An improved Grey prediction theory of nonlinear systems, verification can be)

盲均衡1，采用的自适应算法为横模算法 （blind1cma）()

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)

鲁棒性最小平方插值演示。直接运行程序可以看到演示结果。(robust fitting demo. Run the program directly and see the result.)

BP神经网络模型的建立过程，并利用模型来验证模型的准确性。两部分输入输出数据(BP neural network modeling process and use the model to verify the accuracy of the model. The two input and output data)

BER OF OFDM USING BPSK FOR 10 TAP RAYLEIGH FADING CHANNEL

这是一个时间序列分析程序包 这是一个时间序列分析程序包(This is a time series analysis package is a time series analysis package)

runge kutta para motor de induç ã o

关于LTC6803的相关资料和实例程序，包括1234几种类型，希望有帮助，大家一起探讨(About LTC6803 relevant information and examples of procedures, want to help, you can contact incomplete information, we explore together)

基于定义法计算Lyapunov指数。只要在matlab命令窗口中直接输入文件中函数的名称即可。(calculated based on the definition of Lyapunov exponent. Matlab as long as the order window directly onto the document function name instead.)