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Pseudo-random noise generator based on FPGA
Author(s) -
TanZheng Yang,
Qin Zhang,
PengHui Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2189/1/012014
Subject(s) - modelsim , computer science , field programmable gate array , noise (video) , generator (circuit theory) , flexibility (engineering) , scalability , verilog , matlab , software , embedded system , computer architecture , computer hardware , programming language , operating system , artificial intelligence , mathematics , quantum mechanics , vhdl , image (mathematics) , power (physics) , statistics , physics
This paper proposes a novel pseudo-random noise generator based on FPGA. The system architecture is written by Verilog, and each sub-module is designed in Vivado software. Modelsim is employed to co-simulate the sub-modules and the saved data is imported to Matlab for spectrum analysis. Consequently, the proposed design can be applied to practical noise generating with great scalability and flexibility.

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