Applications of an Improved Time-Frequency Filtering Algorithm to Signal Reconstruction
المؤلفون المشاركون
Long, Junbo
Wang, Haibin
Zha, Daifeng
Fan, Hongshe
Lao, Zefeng
Wu, Huajie
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-05-08
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
The short time Fourier transform time-frequency representation (STFT-TFR) method degenerates, and the corresponding short time Fourier transform time-frequency filtering (STFT-TFF) method fails under α stable distribution noise environment.
A fractional low order short time Fourier transform (FLOSTFT) which takes advantage of fractional p order moment is proposed for α stable distribution noise environment, and the corresponding FLOSTFT time-frequency representation (FLOSTFT-TFR) algorithm is presented in this paper.
We study vector formulation of the FLOSTFT and inverse FLOSTFT (IFLOSTFT) methods and propose a FLOSTFT time-frequency filtering (FLOSTFT-TFF) method which takes advantage of time-frequency localized spectra of the signal in time-frequency domain.
The simulation results show that, employing the FLOSTFT-TFR method and the FLOSTFT-TFF method with an adaptive weight function, time-frequency distribution of the signals can be better gotten and time-frequency localized region of the signal can be effectively extracted from α stable distribution noise, and also the original signal can be restored employing the IFLOSTFT method.
Their performances are better than the STFT-TFR and STFT-TFF methods, and MSEs are smaller in different α and GSNR cases.
Finally, we apply the FLOSTFT-TFR and FLOSTFT-TFF methods to extract fault features of the bearing outer race fault signal and restore the original fault signal from α stable distribution noise; the experimental results illustrate their performances.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Long, Junbo& Wang, Haibin& Zha, Daifeng& Fan, Hongshe& Lao, Zefeng& Wu, Huajie. 2017. Applications of an Improved Time-Frequency Filtering Algorithm to Signal Reconstruction. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1189662
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Long, Junbo…[et al.]. Applications of an Improved Time-Frequency Filtering Algorithm to Signal Reconstruction. Mathematical Problems in Engineering No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1189662
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Long, Junbo& Wang, Haibin& Zha, Daifeng& Fan, Hongshe& Lao, Zefeng& Wu, Huajie. Applications of an Improved Time-Frequency Filtering Algorithm to Signal Reconstruction. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1189662
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1189662
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر