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自适应旋转投影分解法
引用本文:殷勤业,钱世锷.自适应旋转投影分解法[J].电子学报,1997,25(4):52-58.
作者姓名:殷勤业  钱世锷
作者单位:西安交通大学信息工程研究所
基金项目:国家教委跨世纪优秀人才基金,博士点资金
摘    要:本文提出种新的时-频分解方法-自适应旋转投影分解法。在表征信号空间的线性调频高斯信号集上,我们针对原始信号自适应地搜索出一组与信号匹配最好的基函数序,以此 用尽可能少的基函数来重构信号子空间。

关 键 词:时频分析  投影分析  APO分解  信号处理

Adaptive Oriented Orthogonal Projective Decomposition
Yin Qinye,Ni Zhifang.Adaptive Oriented Orthogonal Projective Decomposition[J].Acta Electronica Sinica,1997,25(4):52-58.
Authors:Yin Qinye  Ni Zhifang
Affiliation:(DSP GrouP of National Instruments,USA)Yin Qinye,Ni Zhifang(Institute oflnformation Engineering,Xian Jiaotong University,Xian 710049)
Abstract:In this paper,we present a new algorithm,called adaptive oriented orthogonal projective decomposition (AOP),to decompose a signal into a sum of Gauss functions. The elementary functions used in AOP are the dilations,modulations and translations of a normalized Gauss function. They can be adjusted to best match the original signal. We derive a Time-Frequency energy distribution, by adding the Wigner-Ville distribution of the selected elementary functions. Since the Gauss functions are well localized in the time-frequency domain,the AOP distribution has high resolution,no crossterm and no negative energy. It's a powerful tool of time-frequency analysis.
Keywords:Time-frequency analysis  Projective decomposition  AOP decomposition  
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