Title :
Power-law shot noise
Author :
Lowen, Steven B. ; Teich, Malvin C.
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
fDate :
11/1/1990 12:00:00 AM
Abstract :
The behavior of power-law shot noise, for which the associated impulse response functions assume a decaying power-law form, is explored. Expressions are obtained for the moments, moment generating functions, amplitude probability density functions, autocorrelation functions, and power spectral densities for a variety of parameters of the process. For certain parameters the power spectral density exhibits 1/f-type behavior over a substantial range of frequencies, so that the process serves as a source of 1/fα shot noise for α in the range 0<α<2. For other parameters the amplitude probability density function is a Levy-stable random variable with dimension less than unity. This process then behaves as a fractal shot noise that does not converge to a Gaussian amplitude distribution as the driving rate increases without limit. Fractal shot noise is a stationary continuous-time process that is fundamentally different from fractional Brownian motion. Several physical processes that are well described by power-law noise in certain domains are considered: 1/f shot noise, Cherenkov radiation from a random stream of charged particles, diffusion of randomly injected concentration packets the electric field at the growing edge of a quantum wire, and the mass distribution of solid-particle aggregates
Keywords :
Cherenkov radiation; random noise; 1/f noise; Cherenkov radiation; Levy-stable random variable; amplitude probability density functions; autocorrelation functions; diffusion; electric field; fractal shot noise; impulse response functions; mass distribution; moment generating functions; moments; power spectral density; power-law shot noise; quantum wire; random stream of charged particles; randomly injected concentration packets; solid-particle aggregates; stationary continuous-time process; 1f noise; Autocorrelation; Brownian motion; Fractals; Frequency; Gaussian noise; Noise level; Power generation; Probability density function; Random variables;
Journal_Title :
Information Theory, IEEE Transactions on