The Chen-Shapiro(CS) test was used to test normality for
Lagged Fibonacci PRNG.
Normality Hypothesis Test:
The null hypothesis formally tests if the population
the sample represents is normally-distributed. For
CS, when the normality hypothesis is True, the
distribution of QH will have a mean close to 1.
Information on CS can be found here:
http://www.stata-journal.com/sjpdf.html?articlenum=st0264http://www.originlab.com/doc/Origin-Help/NormalityTest-Algorithm
Signed-off-by: Thomas Turner <thomastdt@googlemail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Also added a TODO to change to a proper normality test in the future.
Reviewed-by: Michael Niedermayer <michael@niedermayer.cc>
Signed-off-by: Ganesh Ajjanagadde <gajjanag@gmail.com>
This reduces the number of false dependencies on header files and
speeds up compilation.
Originally committed as revision 22407 to svn://svn.ffmpeg.org/ffmpeg/trunk
3.5 times faster than our mersene twister.
10 times less memory needed. (=less cache trashing)
Originally committed as revision 14458 to svn://svn.ffmpeg.org/ffmpeg/trunk
Michael Niedermayer
Thomas Turner
Diego Biurrun
Ganesh Ajjanagadde
Yordan Makariev
Mans Rullgard
Stefano Sabatini
Michael Niedermayer