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On generalized shot noise

Published online by Cambridge University Press:  01 July 2016

John Rice*
Affiliation:
University of California, San Diego

Abstract

A simple expression for the characteristic functional of generalized shot noise is developed. Through expansions in terms of functional derivatives this yields expressions for moment functions of all orders. A central limit theorem also follows. Several examples are discussed.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1977 

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References

[1] Bartlett, M. S. (1966) An Introduction to Stochastic Processes. Cambridge University Press.Google Scholar
[2] Conference on Physical Aspects of Noise in Electronic Devices. (1968) Peter Peregrinus Ltd., Stevenage, Hertfordshire, England.Google Scholar
[3] Courant, R. and Hilbert, D. (1965) Methods of Mathematical Physics, Vol. 1. Interscience, New York.Google Scholar
[4] Cox, D. R. (1955) Some statistical methods connected with series of events. J. R. Statist. Soc. B 17, 129164.Google Scholar
[5] Gilchrist, J. and Thomas, J. (1975) A shot process with burst properties. Adv. Appl. Prob. 7, 527541.Google Scholar
[6] Goldberg, B. and Konovalov, G. (1972) Energy spectra of pulsed random processes of mixed type in systems with statistical multiplexing. Telecommun. Radio Eng. 26–27, 7277.Google Scholar
[7] Hawkes, A. G. (1971) Point spectra of some mutually exciting point processes. J. R. Statist. Soc. B 33, 433443.Google Scholar
[8] Hawkes, A. G. and Oakes, D. (1974) A cluster process representation of a self-exciting process. J. Appl. Prob. 11, 493503.Google Scholar
[9] Heiden, C. (1969) Power spectrum of stochastic pulse sequences with correlation between the pulse parameters. Phys. Rev. 188, 319326.Google Scholar
[10] Hopf, E. (1952) Statistical hydromechanics and functional calculus,. J. Rat. Mech. Anal. 1, 87123.Google Scholar
[11] Karp, S. (1975) Statistical properties of ensembles of classical wave packets. J. Opt. Soc. Amer. 65, 421424.Google Scholar
[12] Kolmogorov, A. (1935) La transformation de Laplace dans les espaces linéaires. C. R. Acad. Sci. Paris 200, 17171718.Google Scholar
[13] Kuno, A. and Ikegaya, K. (1973) A statistical investigation of acoustic power radiated by a flow of random point sources. J. Acoust. Soc. Japan 29, 662671.Google Scholar
[14] Lauger, P. (1975) Shot noise in ion channels. Biochem. Biophys. Acta 413, 110.CrossRefGoogle ScholarPubMed
[15] Lewis, P. A. W. (1964) A branching Poisson process model for the analysis of computer failure patterns. J. R. Statist. Soc. B 26, 398456.Google Scholar
[16] Lukes, T. (1961) The statistical properties of sequences of stochastic pulses. Proc. Phys. Soc. 78, 153168.Google Scholar
[17] Milne, R. and Westcott, M. (1972) Further results for Gauss-Poisson processes. Adv. Appl. Prob. 4, 151176.Google Scholar
[18] Newman, D. S. (1970) A new family of point processes which are characterized by their second moment properties. J. Appl. Prob. 7, 338358.Google Scholar
[19] Neyman, J. and Scott, E. (1958) A statistical approach to problems of cosmology. J. R. Statist. Soc. B 20, 143.Google Scholar
[20] Picinbono, B., Bendjaballah, C. and Pouget, J. (1970) Photoelectron shot noise. J. Math. Phys. 11, 21662176.Google Scholar
[21] Rice, S. (1954) Mathematical analysis of random noise. In Selected Papers on Noise and Stochastic Processes, ed. Wax, N., Dover, New York.Google Scholar
[22] Rousseau, M. (1971) Statistical properties of optical glass fields scattered by random media. J. Opt. Soc. Amer. 61, 13071316.Google Scholar
[23] Schottky, W. (1918) Über spontane Stromschwankungen in verschieden Elektrizitätsleitern. Ann. Phys. 57, 541567.Google Scholar
[24] Shiryaev, A. (1960) Some problems in the spectral theory of higher order moments. I. Theory Prob. Appl. 5, 265284.Google Scholar
[25] Stevens, C. (1972) Inferences about membrane properties from electrical noise measurements. Biophys. J. 12, 10281047.Google Scholar
[26] Tapia, R. (1971) The differentiation and integration of nonlinear operators. In Nonlinear Functional Analysis and Applications, ed. Rall, . Academic Press, New York.Google Scholar
[27] Vere-Jones, D. (1970) Stochastic models for earthquake occurrence. J. R. Statist. Soc. B 32, 162.Google Scholar
[28] Verveen, A. and DeFelice, L. (1974) Membrane noise. Prog. Biophys. Mol. Biol. 28, 189265.Google Scholar
[29] Volterra, V. (1959) Theory of Functionals. Dover, New York.Google Scholar
[30] Westcott, M. (1972) The probability generating functional. J. Austral. Math. Soc. 14, 448466.CrossRefGoogle Scholar