Researchers propose design methodology for hardware Gaussian random number generators

Maximum relative PMF error versus σ value, with scaling index introduced. Credit: Zhuo Chen, USTC

A research team from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) has proposed a novel design methodology for Gaussian random number (GRN) generators tailored for SerDes simulation systems.

The study was published in IEEE Transactions on Circuits and Systems I: Regular Papers.
Additive white Gaussian noise (AWGN) serves as a standard model for encapsulating the combined impact of various random and unpredictable noise sources. Consequently, GRN generators, capable of producing AWGN as hardware modules, play an important …
Read more…….

Be the first to comment

Leave a Reply

Your email address will not be published.


*