搜索资源列表
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10下载：
粒子群优化算法用于天线阵列方向图综合，自己编写的源代码，使用标准粒子群优化算法,Particle swarm optimization algorithm for antenna array pattern synthesis, I have written the source code, using the standard particle swarm optimization algorithm
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完整的OFDM链路程序并作了较为具体的解析从基本的bpsk,qpsk,qam到实际的ofdm系统，cdma链路，mac层仿真分析.,Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustnes
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完整的OFDM链路程序并作了较为具体的解析从基本的bpsk,qpsk,qam到实际的ofdm系统，cdma链路，mac层仿真分析.-Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustn
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电磁场和天线优化算法书籍，对初学者很有用-Electromagnetics and Antenna Optimization Using Taguchi Method
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用于蜂窝通信的天线阵列优化方法-Used for cellular communications antenna array optimization method ~~~~~~
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使用临域节点来充当虚拟的MIMO，构成多天线，从而实现空间分集，并且使用了跨层优化的设计理念，将网络层，MAC，和物理层进行了模拟-Use the Pro domain node to act as virtual MIMO, constitutes a multi-antenna in order to achieve spatial diversity, and the use of cross-layer optimization design concepts, the network
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基于遗传算法的矩量法计算程序，用于优化天线结构-Based on genetic algorithm method of moments computer program for optimization of antenna structure
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基于遗传算法的矩量法计算程序，用于优化天线结构-Based on genetic algorithm method of moments computer program for optimization of antenna structure
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optimization of antenna by using C-IE3d interface.
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遗传算法在非线性数值优化方面有着很强的生命力 ,适于波束赋形阵列天线的综合。Matlab 具有很强的数值计算能力和数据图视功能 ,经过二十多年的发展 ,逐渐成为工程师们进行数值优化的首选计算机语言。以一部具有余割平 方波束的雷达搜索天线阵为例 ,采用遗传算法对其馈电相位进行优化 ,优化结果与目标吻合。同时给出其主要节点的 Matlab程序。-Nonlinear numerical optimization genetic algorithm has a strong vitality, suit
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本程序是基于粒子群优化算法（PSO）的环形阵列天线方向图的仿真程序-This procedure is based on the ring particle swarm optimization Antenna Array Simulation Program
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基于PSO的天线阵列方向图综合，优化单元间距和输入相位来综合方向图旁瓣电平和主瓣宽度-PSO-based antenna array pattern synthesis, optimization element spacing and input phase pattern to integrated sidelobe level and mainlobe width
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Antenna Optimization using IWO
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文章详细叙述了基于遗传算法的天线阵优化方法-Article details the antenna array based on genetic algorithm optimization method
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稀疏天线阵Ga优化。使用matlab编程。-Sparse antenna array Ga optimization. Matlab programming
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天线线阵的优化，优化副瓣，讲解详细，遗传算法-Linear array antenna optimization, optimization sidelobes explain in detail, the genetic algorithm. . . . . .
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We presents a comparative study between the least Mean Square (LMS) and Sample Matrix Inversion (SMI)
Algorithms and their application to the smart antenna optimization.
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We presents a comparative study between the least Mean Square (LMS) and Sample Matrix Inversion (SMI)
Algorithms and their application to the smart antenna optimization.
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提出了整数编码，动态调整交叉概率、变异概率，并将适应度函数设为最大相对旁瓣电平,一种改进遗传算法的优化方法来实现直线稀疏阵列的设计-Proposed integer coding, dynamic adjustment of crossover probability, mutation probability, and the fitness function is set to the maximum relative sidelobe level, an improved genetic
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antenna optimization using taguchi method
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