| 结合数字滤波技术的随机共振弱信号检测 |
| |
| 引用本文： | 辛春雨,刘凤侠,张宇.结合数字滤波技术的随机共振弱信号检测[J].吉林大学学报(理学版),2009,47(2):358-361. |
| |
| 作者姓名： | 辛春雨 刘凤侠 张宇 |
| |
| 作者单位： | 1. 白城师范学院 物理系, 吉林 白城 137000; 2. 白城师范学院 大学外语教研部, 吉林 白城 137000; 3. 哈尔滨工业大学 物理系, 哈尔滨 150001 |
| |
| 基金项目： | 黑龙江省自然科学基金 |
| |
| 摘 要： | 应用数值计算研究强噪声背景下弱信号的随机共振检测. 探讨了大频率条件下非线性双稳态系统随机共振的输出信号幅值、 信噪比与随机噪声的关系, 数值计算结果表明, 非线性双稳态系统对大频率噪声具有较大的压制特性, 通过随机共振系统可以检测强噪声背景下的大频率弱信号. 结合数字滤波技术提取了大频率弱信号, 并获得被检测大频率弱信号的特征频率谱线及时域图像.
|
| 关 键 词： | 随机共振 大频率弱信号 数字滤波 |
| 收稿时间： | 2008-08-07 |
Detection of Weak Signals Based on Stochastic Resonance and Digital Filter |
| |
| XIN Chun-yu,LIU Feng-xia,ZHANG Yu.Detection of Weak Signals Based on Stochastic Resonance and Digital Filter[J].Journal of Jilin University: Sci Ed,2009,47(2):358-361. |
| |
| Authors: | XIN Chun-yu LIU Feng-xia ZHANG Yu |
| |
| Institution: | 1. Department of Physics, Baicheng Normal College, Baicheng 137000, Jilin Province, China; 2. Department of University Foreign Language Research, Baicheng Normal College, Baicheng 137000, Jilin Province, China; 3. Department of Physics, Harbin Institute of Technology, Harbin 150001, China |
| |
| Abstract: | Detection of weak signals in heavy noise background based on stochastic resonance was studied via numerical calculation.The relations of the amplitude and the signal-to-noise ratio of the output signals of a nonlinear bistable stochastic resonance system to the noise intensity were researched under the high frequency condition.The results of numerical simulation show that the noise is restrained intensively by the nonlinear bistable system.High frequency weak signals in heavy noise background can be detecte... |
| |
| Keywords: | stochastic resonance high frequency weak signal digital filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《吉林大学学报(理学版)》浏览原始摘要信息 |
| 点击此处可从《吉林大学学报(理学版)》下载免费的PDF全文 |
