A New Smoothed L0 Regularization Approach for Sparse Signal Recovery
المؤلفون المشاركون
Xiang, Jianhong
Yue, Huihui
Yin, Xiangjun
Wang, Linyu
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-17
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Sparse signal reconstruction, as the main link of compressive sensing (CS) theory, has attracted extensive attention in recent years.
The essence of sparse signal reconstruction is how to recover the original signal accurately and effectively from an underdetermined linear system equation (ULSE).
For this problem, we propose a new algorithm called regularization reweighted smoothed L0 norm minimization algorithm, which is simply called RRSL0 algorithm.
Three innovations are made under the framework of this method: (1) a new smoothed function called compound inverse proportional function (CIPF) is proposed; (2) a new reweighted function is proposed; and (3) a mixed conjugate gradient (MCG) method is proposed.
In this algorithm, the reweighted function and the new smoothed function are combined as the sparsity promoting objective, and the constraint condition y-Φx22 is taken as a deviation term.
Both of them constitute an unconstrained optimization problem under the Tikhonov regularization criterion and the MCG method constructed is used to optimize the problem and realize high-precision reconstruction of sparse signals under noise conditions.
Sparse signal recovery experiments on both the simulated and real data show the proposed RRSL0 algorithm performs better than other popular approaches and achieves state-of-the-art performances in signal and image processing.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiang, Jianhong& Yue, Huihui& Yin, Xiangjun& Wang, Linyu. 2019. A New Smoothed L0 Regularization Approach for Sparse Signal Recovery. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1194582
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiang, Jianhong…[et al.]. A New Smoothed L0 Regularization Approach for Sparse Signal Recovery. Mathematical Problems in Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1194582
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiang, Jianhong& Yue, Huihui& Yin, Xiangjun& Wang, Linyu. A New Smoothed L0 Regularization Approach for Sparse Signal Recovery. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1194582
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194582
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