两种Hannig加权的复量Burg算法及其在声达中的应用
TWO KINDS OF HANNING WEIGHTED COMPLEX BURG APPROACHES AND ITS APPLICATIONS IN SODAR
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摘要: 本文提出两种自回归(AR)谱估计方法,它们是Hanning数据自适应加权和Hanning加权的复Burg方法(CHDAB和CHB)。它们的特性与当今最好的一类AR谱估计方法,即数据自适应加权的Burg方法(DAB)一样好,而且算法简单,易于选择初始的两个反射系数。本文把CHDAB和CHB两种方法应用于声达信号的谱估计,在单谱峰的情形下,获得的结果明显优于FFT。Abstract: In this paper, two autoregressive (AR) spectral estimation approaches, i.e. Hanning data-adaptive weighted and Hanning weighted complex Burg approaches (CHDAB and CHB) are discussed. Their characteristics are as well as dataadaptive weighted Burg (DAB) technique, the best technique among other weighted Burg techniques. But our approaches are simpler and the first two AR parameters are easier to be estimated than the DAB technique. The CHDAB and CHB to estimate the spectra of doppler sodar signal have been used, in the caseof single-peak in spectrum, the results are better than the FFT's obviously.
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Kay,S.M.,and S.L.Mapple,Spectrum analysis-A modern perspective,Proceedings of the IEEE,69,11,1380-1919,1981.
Helme,H.L,and C.L.Nikias,Improved spectrum performance via a data-adaptive weighted burg technique,IEEE Trans.Acoustics,Speech,and Signal Processing,ASSP-33,903-910,1985.
Fougere,P.F.,A solution to the problem of spontaneous line-splitting in mazimum entropy power spectrum analysis,J.Ceophy.s.Res,82,1051-1054,1997.
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