Abstract
ABSTRACT The problem treated is that of finding the probability distribution of the output from a simple resistance-capacity smoothing network when the input is a sequence of random square waves generated by a Poisson process. The moments of the first probability distribution are obtained and the density function derived. The results suggest a convenient experimental method for generating low frequency noise with Gaussian, rectangular, parabolic or elliptical probability density functions. An incidental result gives the higher-order autocorrelation functions of the random square-wave input.
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