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现有数字信号自动调制识别方法大多只适用于无记忆信号,如PSK、ASK、FSK信号等。将有记忆
信号(MSK信号)和无记忆信号一起考虑,提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统
计量作为特征参数,采用多层神经网络作为分类器。计算机仿真表明:当噪声采用高斯白噪声,并且信噪比大于
l5 dB时,识别率高于96% ;当信噪比不低于l0 dB时,识别率不低于90%。,Existing digital signal automatic modulation recognition
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是个仿真方法,用解决telosb无线网络的的通信仿真,使用MATLAB工具。非常有用-Simulation method is used to solve telosb wireless network communication simulation, using MATLAB tools. Very useful
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非线性误差曲面特性观察,用MATLAB实现BP网络模拟趋近-Observed non-linear error surface characteristics, network simulation using MATLAB tends to achieve BP
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《智能预测控制及其MATLAB实现(第2版)》系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法,以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用,讲解深入浅出,各章均有相应的例题,并提供了大量用MATLAB/Simulink实现的仿真实例,便于读者掌握和巩固所学知识。-Intelligent predictive control and MATLAB (2nd edition) described the neu
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This paper proposes a new MPPT controller. The proposed
MPPT controller is based on genetic algorithm (GA) optimized
artificial neural network (ANN). For the simulation purpose an
improved model of SPV is used. The MPPT is simulated and
studi
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The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
id
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本书的主要内容包括:对MATLAB语言的数值计算、Simulink工具箱、神经网络工具箱和模糊工具箱的介绍,以及利用这些工具箱对建筑结构抗震工程中的一些实际问题进行研究分析和编程计算。本书侧重于介绍MATLAB语言在建筑结构抗震工程中的实际应用,涉及了科学计算、动态仿真、图形处理、神经网络和模糊控制。(The main contents of this book include the introduction of numerical calculation of MATLAB languag
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