Application of wavelet analysis in removing deviation and correlation from true random sequences

In this paper, based on some researches on randomness of noise signals, the relations between removing deviation and correlation and improving randomness were found. In order to obtain desired true random sequences, we proposed to apply wavelet analysis to digital signals generated through physical generators to extract noise signals. These noise signals were just random sequences we wanted. Experimental simulation results proved that the proposed method can improve quality of random sequences effectively.