An immuno inspired approach to generate white noise

In this paper a new method to generate white noise is proposed. This method is based on viewing the white noise generation as an optimization problem and solving this problem with an immuno inspired algorithm. The white noise approximation obtained with the proposed method is nearer the ideal white noise than a series generated with a known pseudo random generator. The signal obtained with the new method was also applyed to discrete time series state space realization problem implying on results improvement.