Multidimensional folding for sinusoidal order selection
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- 作者：Kefei Liua ; kefeil@umich.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Lei Huangb ; lhuang@szu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Hing Cheung Soc ; hcso@ee.cityu.edu.hk" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jieping Yea ; jpye@umich.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Sinusoidal order selection ; Harmonic retrieval ; Multidimensional folding (MDF) ; Estimation error (ESTER) ; Shift invariance equality
- 刊名：Digital Signal Processing
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：48
- 期：Complete
- 页码：349-360
- 全文大小：1562 K
文摘
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The order estimation algorithm relies on multidimensional folding combined with ESTimation ERror criterion.
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Multidimensional folding and unfolding construct two matrix slices that satisfy the shift invariance equality.
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The ESTER criterion estimates number of harmonics based on shift invariance equality.
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The algorithm is able to identify significantly more harmonics.
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The algorithm is robust against colored noise.