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Compressive Sensing in Signal Processing: Algorithms and Transform Domain Formulations
المؤلفون المشاركون
Stanković, Srdjan
Orović, Irena
Ioana, Cornel
Li, Xiumei
Papić, Vladan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-25
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Compressive sensing has emerged as an area that opens new perspectives in signal acquisition and processing.
It appears as an alternative to the traditional sampling theory, endeavoring to reduce the required number of samples for successful signal reconstruction.
In practice, compressive sensing aims to provide saving in sensing resources, transmission, and storage capacities and to facilitate signal processing in the circumstances when certain data are unavailable.
To that end, compressive sensing relies on the mathematical algorithms solving the problem of data reconstruction from a greatly reduced number of measurements by exploring the properties of sparsity and incoherence.
Therefore, this concept includes the optimization procedures aiming to provide the sparsest solution in a suitable representation domain.
This work, therefore, offers a survey of the compressive sensing idea and prerequisites, together with the commonly used reconstruction methods.
Moreover, the compressive sensing problem formulation is considered in signal processing applications assuming some of the commonly used transformation domains, namely, the Fourier transform domain, the polynomial Fourier transform domain, Hermite transform domain, and combined time-frequency domain.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Orović, Irena& Papić, Vladan& Ioana, Cornel& Li, Xiumei& Stanković, Srdjan. 2016. Compressive Sensing in Signal Processing: Algorithms and Transform Domain Formulations. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1112591
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Orović, Irena…[et al.]. Compressive Sensing in Signal Processing: Algorithms and Transform Domain Formulations. Mathematical Problems in Engineering No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1112591
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Orović, Irena& Papić, Vladan& Ioana, Cornel& Li, Xiumei& Stanković, Srdjan. Compressive Sensing in Signal Processing: Algorithms and Transform Domain Formulations. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1112591
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112591
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