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基于多项式模型的非平稳信号瞬时特征提取
引用本文:杨平,魏俐娟,蒋劢. 基于多项式模型的非平稳信号瞬时特征提取[J]. 四川理工学院学报(自然科学版), 2009, 22(3): 97-99
作者姓名:杨平  魏俐娟  蒋劢
作者单位:四川理工学院,四川,自贡,643000;成都市机械职业技术学校,成都,610207
摘    要:文章深入分析了非平稳信号瞬时特征的结构特点。应用Gram-Schmidt正交基对非平稳信号的瞬时频率和瞬时幅值进行近似,提出了瞬时频率和瞬时幅值的正交多项式估计模型。应用极大似然法对模型的参数进行估计,应用模拟退火算法求解参数的估计值。估计参数带入多项模型,提取出非平稳信号的瞬时特征。仿真试验证明了该方法的可行性和有效性。

关 键 词:非平稳信号  瞬时特征提取  Gram-Schmidt正交基  模拟退火算法

Polynomial Model Based on Non-stationary Transient Signal Feature Extraction
YANG Ping,WEI Li-juan,JIANG Mai. Polynomial Model Based on Non-stationary Transient Signal Feature Extraction[J]. Journal of Sichuan University of Science & Engineering(Natural Science Editton), 2009, 22(3): 97-99
Authors:YANG Ping  WEI Li-juan  JIANG Mai
Affiliation:1.Sichuan University of Science & Engineering;Zigong 643000;China;2.Chengdu Machinery and Vocational of Technical School;Chengdu 610207;China
Abstract:The instantaneous character of non-stationary signal is analyzed.Both instantaneous amplitude(IA) and instantaneous frequency(IF) is approximated by Gram-Schmidt orthonormal base,the model is proposed for estimating IF and IA.The parameters are estimated using maximum likelihood approach and result is worked out by simulated annealing algorithm.The instantaneous characters are extracted through orthonormal polynomial.The validity of the whole method has been verified by computer simulation.
Keywords:non-stationary signal  extract of instantaneous characters  Gram-Schmidt orthonormal base  simulated annealing algorithm  
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