【作者】 付丽华； 李宏伟； 张猛；

【Author】 FU Li-hua~1 LI Hong-wei~1 Zhang Meng~2 (1.School of Mathematics and physics,China University of Geosciences,Wuhan 430074,China;) (2.Department of Computer science,Central China Normal University,Wuhan 430072,China.)

【机构】 中国地质大学数理学院； 华中师范大学计算机系；

【摘要】 本文主要研究了复杂噪声背景中的谐波信号的恢复问题。对于被乘性和加性噪声污染的谐波信号,且乘性噪声均值为零时,现有的循环统计量方法是基于FFT实现的,但其频率分辨率不高。本文利用小波在时频分析中精细和灵活的特点,提出了基于小波变换的谐波信号参数估计方法,并通过仿真实验对所提方法的性能进行了验证。更多还原

【Abstract】 In this paper,we discuss the retrieval of harmonic signal in multiplitive and addtive noises.Among the proposed schemes in the relate literatures,cyclic statistics is based on Fourier transform and the corresponding results get relatively low frequency resolution rate.From the state singal model,this paper introduces a novel approach to harmonic retrieval(HR) based on wavelet transform normalized scalogram,by using of wavelet’s merits of finess and flexibility in time-frequency analysis,and then we introduce the relationship between the normalized scalogram and the signal’s parameters.From the fundamental,we propose wavelet based approach to harmonic retrieval in complex noises.The simulate results indicate the new scheme perform better in HR problem.更多还原