期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
DESIGN OF DIGITAL IMPACTING FILTER IN CP-EBPSK WITH RANDOM-POLAR COMMUNICATION SYSTEM 被引量:4
1
作者 Jin Yi Wu Lenan +1 位作者 Chen Yifang Yu Jing 《Journal of Electronics(China)》 2012年第3期328-333,共6页
To solve the difficulty of designing digital impacting filter in the receiver of random-polar modulated Extended Binary Phase Shift Keying with Continuous Phase (CP-EBPSK), a design method based on Quantum-behaved Par... To solve the difficulty of designing digital impacting filter in the receiver of random-polar modulated Extended Binary Phase Shift Keying with Continuous Phase (CP-EBPSK), a design method based on Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is proposed. Firstly, QPSO is introduced elaborately, and the basic flow of QPSO is also given. Then, the demodulation principle of digital impacting filter in the communication system of CP-EBPSK with random-polar is demonstrated, and QPSO is utilized to design the digital impacting filter, which also takes the effect of finite word length into consideration when implemented by hardware. Finally, the proposed method is simulated. Simulation results show that the digital impacting filter designed by new method can derive satisfied demodulation performance. 展开更多
关键词 Extended Binary Phase Shift Keying with Continuous Phase (CP-EBPSK) Digital impacting filter quantum-behaved particle swarm optimization algorithm (qpso) DEMODULATION Effect of finite word length
下载PDF
优化模糊Petri网参数的一种混合智能算法 被引量:1
2
作者 靳文辉 葛洪伟 《计算机应用与软件》 CSCD 北大核心 2008年第9期252-254,共3页
确定模糊产生式规则的各项参数对模糊Petri网(FPN)的建立具有非常重要的意义,是目前研究热点之一。提出了一种充分结合量子粒子群优化算法QPSO(Quantum-behaved partide swarm optimization algorithm)和BP网络学习算法各自优点的混合... 确定模糊产生式规则的各项参数对模糊Petri网(FPN)的建立具有非常重要的意义,是目前研究热点之一。提出了一种充分结合量子粒子群优化算法QPSO(Quantum-behaved partide swarm optimization algorithm)和BP网络学习算法各自优点的混合智能算法HQBA,并将其引入到模糊Petri网的参数寻优过程。仿真实例表明,这种混合算法计算简单,收敛速度快,能够明显减少迭代次数,具有更好的全局收敛性能。由此训练出的参数正确率较高,所得的FPN具有很强的泛化能力和自适应性。 展开更多
关键词 模糊PETRI网 产生式规则 模糊推理 BP网络学习算法 量子粒子群优化算法
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部