文件名称:Burg_VC
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介绍了现代功率谱估计中的B哩算法最大嫡谱估计的基本原理，并采用VC+十语言对
功率谱密度(鹅D)进行了仿真。同时比较了BI雌算法和经典谱估计中Bardett周期图法，针对Burg算法中的
模型阶次的选择进行了分析，提出了最佳模型阶次采用最终预报误差(I下E)为准则的结论。
-Introduction of modern power spectrum estimation algorithm B mile maximum entropy spectral estimation principle, and using VC+ 10 languages of the power spectral density (geese D) simulation. BI also compared female algorithm and the classical spectrum estimation Bardett periodogram, Burg algorithm for model order selection for the analysis, the optimal model order using the final prediction error (I, under E) as the criterion of the conclusions .
功率谱密度(鹅D)进行了仿真。同时比较了BI雌算法和经典谱估计中Bardett周期图法，针对Burg算法中的
模型阶次的选择进行了分析，提出了最佳模型阶次采用最终预报误差(I下E)为准则的结论。
-Introduction of modern power spectrum estimation algorithm B mile maximum entropy spectral estimation principle, and using VC+ 10 languages of the power spectral density (geese D) simulation. BI also compared female algorithm and the classical spectrum estimation Bardett periodogram, Burg algorithm for model order selection for the analysis, the optimal model order using the final prediction error (I, under E) as the criterion of the conclusions .
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Burg算法最大熵谱估计的VC_仿真分析.caj