Random sequence generation is a central topic within the limits of much simulation systems. In this kind of systems, sometimes we need to produce an string of random numbers in order to simulate real situatitons and evaluate the...
moreRandom sequence generation is a central topic within the limits of much simulation systems. In this kind of systems, sometimes we need to produce an string of random numbers in order to simulate real situatitons and evaluate the performance under little changes over critical parameters. We can find the classical example when try to simulate a cashiers line of a supermarket. The arrive of the customers follows an statistic distribution, and we need a normal one to simulate it. Normally, random sequences are generated using a linear congruential generator, but in this work, we propose a method which uses cellular automata to produce them. The first approach we are going to select a specific cellular automata; over it, are going to realize statistical test in orden to verify his randomness, like Chi-square test, gap test and others. Finally, we propose a harware implementation of the generator with less than ten logic gates per bit of output.
