2007
DOI: 10.1364/josaa.25.000231
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The copula: a tool for simulating speckle dynamics

Abstract: Use of a copula for generating a sequence of correlated speckle patterns is introduced. The chief characteristic of this algorithm is that it generates a continuous speckle sequence with a specified evolution of the correlation and does so with just two arrays of random numbers. Thus, physically realistic temporally varying speckle patterns with proper first- and second-order statistics are easily realized. We illustrate use of the algorithm for generating sequences with prescribed Gaussian, exponential, and e… Show more

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Cited by 69 publications
(40 citation statements)
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References 10 publications
(15 reference statements)
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“…Sequences of 50 speckle patterns with user-defined correlation behaviors were simulated using the concept of a copula [28] in the MATLAB environment. Decorrelation rates are defined in terms of the number of frames it takes for the overall speckle pattern autocorrelation coefficient, Γ I , to reduce to a value of 1/e.…”
Section: Methodsmentioning
confidence: 99%
“…Sequences of 50 speckle patterns with user-defined correlation behaviors were simulated using the concept of a copula [28] in the MATLAB environment. Decorrelation rates are defined in terms of the number of frames it takes for the overall speckle pattern autocorrelation coefficient, Γ I , to reduce to a value of 1/e.…”
Section: Methodsmentioning
confidence: 99%
“…This equation has been used to generate speckle patterns, for example see the work of Kirkpatrick et al [1,2]. Since it is a standard Fourier transform, no spatial correlation mapping is preserved, as expected for a non-imaging free space field propagation.…”
Section: Synthesis Of Correlated Speckle Patternsmentioning
confidence: 99%
“…Besides being experimentally investigated, simulation can be a powerful complement for understanding the properties of speckles, for evaluating data processing methods and for investigating the possibility of further applications of laser speckle phenomena. In many experiments, such as imaging circulation dynamics, the correlation properties of the observed area are not uniformly distributed, therefore the simulated speckle patterns are supposed to have a desired correlation distribution across the area of interest, which demands the simulation to have a few-to-one mapping [1] between the input matrix and the correlation distribution between simulated speckle patterns.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…6 Using this approach, we were able to generate fully developed, dynamic speckle patterns with very well-controlled first and second order statistics, and also with prescribed decorrelation behavior. Following the generation of the speckle sequences, the pseudo-phaseφ 7 of the speckle patterns was generated using a two-dimensional (2-D) Hilbert transformation of the speckle patterns.…”
mentioning
confidence: 99%