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Minor textual change in README.

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Joris van Rantwijk 2016-11-13 22:25:15 +01:00
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@ -57,8 +57,8 @@ See also M. Matsumoto, T. Nishimura, "Mersenne Twister: a 623-dimensionally
equidistributed uniform pseudorandom number generator", ACM TOMACS, vol. 8,
no. 1, 1998.
This RNG is very popular in software applications because it is relatively
fast while the output passes many statistical tests.
This RNG is very popular in software applications. It is relatively fast,
passes many statistical tests and has an enormous period.
The VHDL implementation produces 32 new random bits on every (enabled)
clock cycle. It uses a RAM block, 32 bits wide, 1024 elements deep,