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Multiplied-Poisson noise in pulse, particle, and photon detection, Proc (1982)

by B E A Saleh, M C Teich
Venue:IEEE
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Power-Law Shot Noise

by Steven B. Lowen, Malvin C. Teich , 1990
"... We explore the behavior of power-law shot noise, for which the associated impulse response functions assume a decaying power-law form. We obtain expressions for the moments, moment generating functions, amplitude probability density functions, autocorrelation functions, and power spectral densities ..."
Abstract - Cited by 64 (6 self) - Add to MetaCart
We explore the behavior of power-law shot noise, for which the associated impulse response functions assume a decaying power-law form. We obtain expressions 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=f ff shot noise for ff in the range 0 ! ff ! 2. For other parameters the amplitude probability density function is a L'evy-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. We consider several physical processes that are well described by power-law shot noise in certain domains: 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. I.

Fractal Character of the Neural Spike Train in the Visual System of the Cat

by Malvin C. Teich, Conor Heneghan, Steven B. Lowen, Tsuyoshi Ozaki, Ehud Kaplan , 1997
"... d from one cell to the other or has a common origin. The gamma-r renewal process model, often used in the analysis of visual-neuron interevent intervals, describes certain short-term features of the RGC and LGN data reasonably well but fails to account for the long-duration correlation. We present ..."
Abstract - Cited by 36 (4 self) - Add to MetaCart
d from one cell to the other or has a common origin. The gamma-r renewal process model, often used in the analysis of visual-neuron interevent intervals, describes certain short-term features of the RGC and LGN data reasonably well but fails to account for the long-duration correlation. We present a new model for visual-system nerve-spike firings: a gamma-r renewal process whose mean is modulated by fractal binomial noise. This fractal, doubly stochastic point process characterizes the statistical behavior of both RGC and LGN data sets remarkably well. 1997 Optical Society of America [S0740-3232(97)00202-0] 1. INTRODUCTION The sequence of action potentials recorded from cat retinal ganglion cells 1--16 (RGC's) and lateral-geniculatenucleus (LGN) cells 17--21 remains irregular even when the retina is thoroughly adapted to a steady stimulus of fixed luminance. The statis

Point process models for self-similar network trac, with applications

by Bo Ryu , Steven B Lowen - Comm. Statist. Stochastic Models , 1998
"... Abstract Self-similar processes based on fractal point processes (FPPs) provide natural and attractive network traffic models. We show that the point process formulation yields a wide range of FPPs which in turn yield a diversity of parsimonious, computationally efficient, and highly practical asym ..."
Abstract - Cited by 23 (4 self) - Add to MetaCart
Abstract Self-similar processes based on fractal point processes (FPPs) provide natural and attractive network traffic models. We show that the point process formulation yields a wide range of FPPs which in turn yield a diversity of parsimonious, computationally efficient, and highly practical asymptotic second-order self-similar processes. Using this framework, we show that the relevant second-order fractal characteristics such as long-range dependence (LRD), slowly-decaying variance, and 1/f noise are completely characterized by three fundamental quantities: mean arrival rate, Hurst parameter, and fractal onset time. Four models are proposed, and the relationship between their model parameters and the three fundamental quantities are analyzed. By successfully applying the proposed models to Bellcore's Ethernet traces, we show that the FPP models prove useful in evaluating and predicting the queueing performance of various types of fractal traffic sources. Keywords: point process, fractal, self-similarity, long-range dependence, traffic modeling 1 Throughout this paper, self-similarity refers to asymptotic second-order self-similarity [4], [13] unless otherwise defined.

Effects of random deletion and additive noise on bunched and anti-bunched photon counting statistics

by M Teich, B Saleh - Opt. Lett , 1982
"... ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
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... and Var(n) = (n) (1 + a/At). (13) The quantity A is the degrees-of-freedom parameter for shot-noise light. 5 The randomly deleted distribution has the properties (m) = 71W, Var(m) = (m) (1 + yalit), =-=(14)-=- i.e., a reduced mean and a reduced multiplication parameter but an unchanged number of degrees of freedom. We note that random deletion of the primary process (i.e., deletion before multiplication) s...

Cascaded Stochastic Processes in Optics

by Malvin C. Teich, Bahaa E. A. Saleh - Traitement du Signal , 1999
"... Thirty years ago, Bernard Picinbono and his colleagues carefully addressed an important problem: how an optical field is converted into a sequence of photoelectrons upon detection. Their choice of problem could not have been better, nor their timing more judicious. In a paper entitled "Photoe ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Thirty years ago, Bernard Picinbono and his colleagues carefully addressed an important problem: how an optical field is converted into a sequence of photoelectrons upon detection. Their choice of problem could not have been better, nor their timing more judicious. In a paper entitled "Photoelectron Shot Noise", published in the Journal of Mathematical Physics in 1970, when quantum optics was in its infancy, they obtained results that were to serve as an important building block in analyzing and generating many di#erent forms of light. We present some variations on the theme of cascaded stochastic processes in optics. Processus stochastiques en cascade d'importance en optique Resume--Il y a trente ans, Bernard Picinbono et ses collegues ont traite rigoureusement un probleme important : comment un champ optique est converti en une suite de photoelectrons apres detection. Leur choix de ce probleme ne pouvait pas etre meilleur et a revele un caractere pionnier. Dans un article intitule "Photoelectron Shot Noise", publie dans le Journal of Mathematical Physics en 1970, alors que l'optique quantique n'etait encore qu'a ses debuts, ils obtinrent des resultats qui constituerent un important point de depart pour analyser et generer de nombreuses et diverses formes de lumieres. Nous presentons des variations sur le theme des processus stochastiques en cascade, en optique. 1
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...son process, a deterministic linear filter, and a second Poisson process. Since the output of the linear filter is shot noise, this construct is given the appelation shot-noise-driven Poisson process =-=[23]-=-. It is a special kind of doubly-stochastic Poisson process as can be understood by comparing Fig. 3 (top) with Fig. 2 (top). A representative example of the applicability of this process is provided ...

unknown title

by Par Malvin Carl Teich, Bahaa E. A. Saleh
"... Cascaded stochastic processes in optics Processus stochastiques en cascade d'importance en optique abstract and key words Thirty years ago, Bernard Picinbono and his colleagues carefully addressed an important problem: how an optical field is converted into a sequence of photoelectrons upon det ..."
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Cascaded stochastic processes in optics Processus stochastiques en cascade d'importance en optique abstract and key words Thirty years ago, Bernard Picinbono and his colleagues carefully addressed an important problem: how an optical field is converted into a sequence of photoelectrons upon detection. Their choice of problem could not have been better, nor thei r timing more judicious. In a paper entitled "Photoelectron Shot Noise", published in the Journal of Mathematical Physics in 1970, when quantum optics was in its infancy, they obtained results that were to serve as an important building block i n analyzing and generating many different forms of Tight. We present some variations on the theme of cascaded stochasti c processes in optics. Poisson process, shot noise, self-exciting process, doubly-stochastic process, compound Poisson process, doubly-Poisson, triggered optical emissions, multiply-Poisson, cascaded-Poisson, correlated-Poisson, nonclassical light, sub-Poisson light. résumé et mots clés Il y a trente ans, Bernard Picinbono et ses collègues ont traité rigoureusement un problème important: comment un champ optiqu e est converti en une suite de photoélectrons après détection. Leur choix de ce problème ne pouvait pas être meilleur et a révélé u n
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...process, a deterministic linear filter, and a secon d Poisson process . Since the output of the linear filter is shot noise , this construct is given the appelation shot-noise-driven Poisso n process =-=[23]-=- . It is a special kind of doubly-stochastic Poisso n process as can be understood by comparing figure 3 (top) wit h figure 2 (top) . A representative example of the applicability of this process is p...

Branching Processes in Quantum Electronics

by Malvin Carl Teich, Bahaa E. A. Saleh
"... ..."
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...son process, a deterministic linear filter, and a second Poisson process. Since the output of the linear filter is shot noise, this construct is given the appelation shot-noise-driven Poisson process =-=[35]-=-. It is a special kind of doubly stochastic Poisson process as can be understood by comparing Fig. 3(a) with Fig. 2(a). A representative example of the applicability of this process in optics is provi...

unknown title

by Malvin C. Teich, Conor Heneghan, Steven B. Lowen, Tsuyoshi Ozaki, Ehud Kaplan , 1995
"... Teich et al. Vol. 14, No. 3/March 1997/J. Opt. Soc. Am. A 529 Fractal character of the neural spike train in the visual system of the cat ..."
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Teich et al. Vol. 14, No. 3/March 1997/J. Opt. Soc. Am. A 529 Fractal character of the neural spike train in the visual system of the cat

BE (Melb)

by Ian Christopher Bruce , 1997
"... Spatiotemporal coding of sound in the auditory nerve for cochlear implants ..."
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Spatiotemporal coding of sound in the auditory nerve for cochlear implants
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... are called Dead-Time-Modified Poisson Processes (DTMPP). They have found application to diverse areas such as neural systems, particle detection, and optical communications (Prucnal and Teich, 1983; =-=Saleh and Teich, 1982-=-; Vannucci and Teich, 1981; Müller, 1973). Remark 3.2.3 A DTMPP with a dead time of zero will cause λn(t) of (3.2) to equal sn(t), in which case the process becomes an unmodified Poisson Process. Rem...

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