کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6885785 | 1444579 | 2018 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Adaptive gradient-based analog hardware architecture for 2D under-sampled signals reconstruction
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The paper proposes an analog hardware solution for the implementation of two-dimensional gradient-based algorithm. The algorithm employs the discrete cosine transform and performs missing samples reconstruction by using the compressive sensing principles. Although there is a number of algorithms for solving two-dimensional compressive sensing problems, for many of them a real-time application is a challenging task. Therefore, this paper observes an algorithm whose real-time application has relatively low complexity. Also, the reconstruction accuracy is comparable to the commonly used compressive sensing algorithms. The algorithm is observed within the several parts. The implementation of each part is considered in details, with provided discussion on the computational complexity of each part.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microprocessors and Microsystems - Volume 62, October 2018, Pages 72-78
Journal: Microprocessors and Microsystems - Volume 62, October 2018, Pages 72-78
نویسندگان
Nedjeljko LekiÄ, Maja LakiÄeviÄ Å½ariÄ, Irena OroviÄ, Srdjan StankoviÄ,