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A New Method of Blind Source Separation Using Single-Channel ICA Based on Higher-Order Statistics
المؤلفون المشاركون
Lu, Guangkuo
Xiao, Manlin
Wei, Ping
Zhang, Huaguo
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-11
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Methods of utilizing independent component analysis (ICA) give little guidance about practical considerations for separating single-channel real-world data, in which most of them are nonlinear, nonstationary, and even chaotic in many fields.
To solve this problem, a three-step method is provided in this paper.
In the first step, the measured signal which is assumed to be piecewise higher order stationary time series is introduced and divided into a series of higher order stationary segments by applying a modified segmentation algorithm.
Then the state space is reconstructed and the single-channel signal is transformed into a pseudo multiple input multiple output (MIMO) mode using a method of nonlinear analysis based on the high order statistics (HOS).
In the last step, ICA is performed on the pseudo MIMO data to decompose the single channel recording into its underlying independent components (ICs) and the interested ICs are then extracted.
Finally, the effectiveness and excellence of the higher order single-channel ICA (SCICA) method are validated with measured data throughout experiments.
Also, the proposed method in this paper is proved to be more robust under different SNR and/or embedding dimension via explicit formulae and simulations.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lu, Guangkuo& Xiao, Manlin& Wei, Ping& Zhang, Huaguo. 2015. A New Method of Blind Source Separation Using Single-Channel ICA Based on Higher-Order Statistics. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073848
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lu, Guangkuo…[et al.]. A New Method of Blind Source Separation Using Single-Channel ICA Based on Higher-Order Statistics. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1073848
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lu, Guangkuo& Xiao, Manlin& Wei, Ping& Zhang, Huaguo. A New Method of Blind Source Separation Using Single-Channel ICA Based on Higher-Order Statistics. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073848
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073848
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