نتایج جستجو برای: bottom multiples

تعداد نتایج: 64245  

Journal: :Shock and Vibration 2021

The prediction and control of vortex-induced vibration (VIV) is one the key problems for riser design. effect platform heave motion on VIV deep sea top-tensioned (TTR) presented by means numerical simulation experiment in this research. First, was modeled as a parametric excitation, governing equation considering excitation established. Then, dynamic response TTR calculated numerically finite d...

2003
Antoine Guitton

Three multiple attenuation techniques are tested on a Gulf of Mexico dataset. These methods are (1) a hyperbolic Radon transform followed by a mute (2), the Delft approach and (3), a pattern-based technique. The Radon transform separates multiples and primaries according to their moveout. The Delft approach models the multiples and subtracts them by estimating adaptive filters. The pattern-base...

2009
Terrence M. Adams Karl E. Petersen

Denote by x a random innnite path in the graph of Pascal's triangle (left and right turns are selected independently with xed probabilities) and by d n (x) the binomial coeecient at the n'th level along the path x. Then for a dense G set of in the unit interval, fd n (x)g is almost surely dense but not uniformly distributed modulo 1.

Journal: :CoRR 2012
Andrew R. Cohen Paul M. B. Vitányi

Normalized compression distance (NCD) is a parameter-free similarity measure based on compression. The NCD between pairs of objects is not sufficient for all applications. We propose an NCD of finite multisets (multiples) of objacts that is metric and is better for many applications. Previously, attempts to obtain such an NCD failed. We use the theoretical notion of Kolmogorov complexity that f...

1998
Terrence M. Adams

Denote by x a random infinite path in the graph of Pascal’s triangle (left and right turns are selected independently with fixed probabilities) and by dn(x) the binomial coefficient at the n’th level along the path x. Then for a dense Gδ set of θ in the unit interval, {dn(x)θ} is almost surely dense but not uniformly distributed modulo 1.

Journal: :Revue Francophone des Laboratoires 2021

Journal: :International Astronomical Union Colloquium 1977

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