| 独立脉冲对谱矩估计方法 |
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| 引用本文： | 朱维庆. 独立脉冲对谱矩估计方法[J]. 声学学报, 1988, 13(1): 45-52. DOI: 10.15949/j.cnki.0371-0025.1988.01.007 |
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| 作者姓名： | 朱维庆 |
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| 作者单位： | 中国科学院声学研究所 |
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| 摘 要： | 假设信号和噪声是独立的平稳彩色高斯过程,本文用独立脉冲对噪声抵消法的自回归谱矩估计值(PPARNC)和协方差函数谱矩估计值(PPCNC)以及独立脉冲对最大似然法的自回归谱矩估计值(PPARML)和协方差函数谱矩估计值(PPCML)分析了信号的频率估计值和带宽估计值、即一阶谱矩和二阶谱矩估计值的均值和方差。分析表明,PPARNC和PPCNC均优于PPARML和PPCML,其中PPARNC明显优于其它方法。
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| 收稿时间： | 1985-04-29 |
SPECTRAL MOMENT ESTIMATES FROM INDEPENDENT PULSE PAIR |
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| ZHU Wei-qing. SPECTRAL MOMENT ESTIMATES FROM INDEPENDENT PULSE PAIR[J]. ACTA ACUSTICA, 1988, 13(1): 45-52. DOI: 10.15949/j.cnki.0371-0025.1988.01.007 |
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| Authors: | ZHU Wei-qing |
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| Abstract: | Estimations of the first two order power spectrum moments from autoregressive approach (PPARNC) and covariance approach (PPCNC) with independent pulse pair by noise cancel method and from autoregressive approach (PPARML) and covariance approach (PPCML) with independent pulse pair by maximum likelihood method are analyzed with the assumption that the input signal and noise are independent colour complex Gaussian process.It is shown that PPARNC and PPCNC are better than PPARML and PPCNL,and PPARNC is the best of air. |
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