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1)  cycle solution
共振周期解
2)  resonant period
共振周期
3)  periodic resonance
周期共振
4)  periodic oscillatory solution
周期振荡解
1.
Existence and exponential convergence of periodic oscillatory solution for BAM neural networks with delays is discussed by using fixed-point theorem,constructing suitable Lyapunov functions,and some analysis techniques.
应用Banach空间的不动点定理并通过构造适当的Lyapunov函数,结合一些分析的技巧研究了时滞BAM神经网络周期振荡解的存在性和指数收敛性。
5)  period resonance
周期共振,周期谐振
6)  aperiodic stochastic resonance
非周期随机共振
1.
, aperiodic stochastic resonance (ASR).
结果表明 ,一定量的噪声有助于信息传输 ,即非周期随机共振 。
2.
The physical mechanism of signal processing based on the aperiodic stochastic resonance(ASR) system is analyzed,and a statistical approach for recovering the binary signal is proposed.
分析了利用非周期随机共振进行基带信号检测的物理机制,提出了一种基于统计的信号恢复新方法。
3.
By utilizing means of mutual information rate and theory of stochastic resonance detection,in order to simulate ability of organism in signal detection,aperiodic stochastic resonance in single Hodgkin-Huxley neure is studied.
实验结果表明,Hodgkin-Huxley单神经元不但阈值下存在非周期随机共振现象,在某些特定的条件下,阈值上也同样存在看非周期随机共振现象。
补充资料:电子自旋共振(见电子回旋共振)


电子自旋共振(见电子回旋共振)
electron spin resonance

  电子自旋共振eleetron spin resonanee见电子回旋共振。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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