摘要
研究了随机共振的一个特殊形式——超阈值随机共振。超阈值随机共振是基于阈值阵列模型的随机共振现象。分析了阈值阵列模型输出随机过程的统计特性,固定输入信噪比,可观察输出信噪比增益随阈值噪声方差的改变产生非单调变化的规律。实验验证了含噪周期输入信号经阈值阵列系统,在统计独立、服从高斯分布的阈值噪声作用下,输出信号信噪比增益大于1。且对于非高斯噪声,会获得更高的输出信噪比。
SSR （Suprathreshold Stochastic Resonance） phenomenon is studied as a special form of stochastic resonance. SSR is a phenomenon based on threshold array model. The statistical properties for output process of threshold array model are evaluated. With a fixed input SNR （signal-to-noise ratio）, the output SNR gain varies in a non-monotonic way with the variance of threshold noises. The experiment indicates that, with the help of threshold noises, the output SNR gain is larger than unity, while the input noise is non-Gaussian, there would be a better SNR gain.
出处
《通信技术》
2012年第7期122-124,共3页
Communications Technology
关键词
超阈值随机共振
阈值阵列模型
信噪比增益
suprathreshold stochastic resonance
threshold array model＇ SNR （signal-to-noiseratio） gain
