An FPGA architecture for Compressed Sensing of Image Signals
JEC-ECC Conference • 2016
معلومات البحث
المؤلفون
S. Elsayed, M. Elsabrouty, O. Muta, and H. Furukawa
الكلمات المفتاحية
Not Available
المجلة العلمية
JEC-ECC Conference
الناشر
Not Available
المجلد
4
العدد
Not Available
الصفحات
Not Available
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
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.
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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