2012
DOI: 10.1071/aseg2012ab256
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The use of pseudorandom sweeps to reduce interference noise in simultaneous Vibroseis surveys

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Cited by 6 publications
(2 citation statements)
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“…Iranpour, Eriksson and Hoerline () (see also Eriksson and Horlin , Iranpour, Eriksson and Hoerline and Nasreddin, Dean and Iranpour ) begin with a random binary sequence which they then perturb using a simulated annealing algorithm. The method can be used to generate individual sweeps with optimum autocorrelation wavelets or sets of sweeps with optimum cross‐correlation characteristics in the time window of interest.…”
Section: Pseudorandom Sweep Designmentioning
confidence: 99%
“…Iranpour, Eriksson and Hoerline () (see also Eriksson and Horlin , Iranpour, Eriksson and Hoerline and Nasreddin, Dean and Iranpour ) begin with a random binary sequence which they then perturb using a simulated annealing algorithm. The method can be used to generate individual sweeps with optimum autocorrelation wavelets or sets of sweeps with optimum cross‐correlation characteristics in the time window of interest.…”
Section: Pseudorandom Sweep Designmentioning
confidence: 99%
“…However, pseudorandom vibroseis sweeps have long been suggested as an alternative to standard linear sweep due to their potential for using superior orthogonality, [4,5] a lower likelihood for damaging infrastructure and increasing lowfrequency content and pseudorandom signals are attractive as they have a better autocorrelation shape, they have the ability to reduce interference noise. [6,7] Nasreddin et al applied pseudorandom signal coding to simultaneous vibroseis data, [8] which resulted in improving data quality and greater sampling efficiency. Sallas et al and Maxwell et al applied similar pseudorandom coding to low-frequency vibroseis data, which resulted in improvements to temporal resolution.…”
Section: Introductionmentioning
confidence: 99%