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Ass. Lect. sawsan abdellatif elsayed :: Publications:

Title:
An FPGA architecture for Compressed Sensing of Image Signals
Authors: S. Elsayed, M. Elsabrouty, O. Muta, and H. Furukawa
Year: 2016
Keywords: Not Available
Journal: JEC-ECC Conference
Volume: 4
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Not Available
Supplementary materials Not Available
Abstract:

This paper proposes an FPGA architecture of compressive sensing for image signals. The sensing matrix utilized is scrambled block Hadamard, where only 32x32 RAM is used to save the block matrix, and the multiplication operation is reduced to just additions and subtractions using an accumulator. Random row selection is implemented using Linear Feedback Shift Register (LFSR) technique. The proposed architecture can achieve maximum frequency of 171.6 MHz.

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