| 循环统计量分析与包络解调分析的对比 |
| |
| 引用本文： | 姜鸣,陈进.循环统计量分析与包络解调分析的对比[J].上海大学学报(英文版),2004,8(2):193-198. |
| |
| 作者姓名： | 姜鸣 陈进 |
| |
| 作者单位： | TheStateKeyLaboratoryofVibration,ShockandNoise,ShanghaiJiaotongUniversity,Shanghai200030,P.R.China |
| |
| 基金项目： | ProjectsupportedbytheNationalNaturalScienceFoundationoChina(GrantNo .5 0 175 0 68) |
| |
| 摘 要： | In this paper,demodulation performance of first-order cyclic statistics and second-order cyclic stais for amplitude modulation signals is introduced.By theoretical research,it is proved that cyclic mean does not possess demodulation performance for amplitude modulation signals,but cyclic autocorrelation function can extract frequency components from amplitude modulation signals.Based on the above,both cyclic autocorrelation function and envelope demodulation based on Hilbert transfrom are compared.The results show that the two kinds of analysis methods have similar performance for demodulation,in the mean time it is pointed out that they also possess essential distinction,and cyclic autocorrelation function is better to demodulate amplitude modulation signals.
|
| 关 键 词： | 循环统计量分析 包络解调分析 解调 特征提取 Hilbert变换 信号处理 |
| 收稿时间： | 21 April 2003 |
Comparison between cyclic statistics and envelope demodulation |
| |
| Jiang?Mingi,Chen?Jin.Comparison between cyclic statistics and envelope demodulation[J].Journal of Shanghai University(English Edition),2004,8(2):193-198. |
| |
| Authors: | Jiang Mingi Chen Jin |
| |
| Institution: | The State Key Laboratory of Vibration, Shock and Noise, Shanghai Jiaotong University, Shanghai 200030, P. R. China |
| |
| Abstract: | In this paper, demodulation performance of first-order cyclic statistics and second-order cyclic statistics for amplitude modulation signals is introduced. By theoretical research, it is proved that cyclic mean does not possess demodulation performance for amplitude modulation signals, but cyclic autocorrelation function can extract frequency components from amplitude modulation signals. Based on the above, both cyclic autocorrelation function and envelope demodulation based on Hilbert transform are compared. The results show that the two kinds of analysis methods have similar performance for demodulation, in the mean time it is pointed out that they also possess essential distinction, and cyclic autocorrelation function is better to demodulate amplitude modulation signals. |
| |
| Keywords: | cyclic statistics demodulation feature extraction |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
|
