scholarly journals Computational catalyst discovery: Active classification through myopic multiscale sampling

2021 ◽  
Vol 154 (12) ◽  
pp. 124118
Author(s):  
Kevin Tran ◽  
Willie Neiswanger ◽  
Kirby Broderick ◽  
Eric Xing ◽  
Jeff Schneider ◽  
...  
Keyword(s):  
Active Classification ◽  
Multiscale Sampling

scholarly journals Marine Rapid Environmental Assessment in the Gulf of Taranto: a multiscale approach

2016 ◽  
Vol 16 (12) ◽  
pp. 2623-2639 ◽  
Author(s):  
Nadia Pinardi ◽  
Vladyslav Lyubartsev ◽  
Nicola Cardellicchio ◽  
Claudio Caporale ◽  
Stefania Ciliberti ◽  
...  
Keyword(s):  
Surface Waters ◽  
Large Scale ◽  
Eastern Mediterranean ◽  
Small Scale ◽  
Multiscale Approach ◽  
Mesoscale Variability ◽  
Large Scale Circulation ◽  
Eddy Field ◽  
Multiscale Sampling ◽  
Circulation Structure

Abstract. A multiscale sampling experiment was carried out in the Gulf of Taranto (eastern Mediterranean) providing the first synoptic evidence of the large-scale circulation structure and associated mesoscale variability. The mapping of the mesoscale and large-scale geostrophic circulation showed the presence of an anticyclonic large-scale gyre occupying the central open ocean area of the Gulf of Taranto. On the periphery of the gyre upwelling is evident where surface waters are colder and saltier than at the center of the gyre. Over a 1-week period, the rim current of the gyre undergoes large changes which are interpreted as baroclinic–barotropic instabilities, generating small-scale cyclonic eddies in the periphery of the anticyclone. The eddies are generally small, one of which can be classified as a submesoscale eddy due to its size. This eddy field modulates the upwelling regime in the gyre periphery.

Non-Orthogonal Finite-Cap-Element Multiscale Sampling

2018 ◽  
pp. 411-445
Author(s):  
Willi Freeden ◽  
M. Zuhair Nashed ◽  
Michael Schreiner
Keyword(s):  
Multiscale Sampling

Transient Resonance Scattering and Target Identification

1997 ◽  
Vol 50 (3) ◽  
pp. 131-148 ◽  
Author(s):  
G. C. Gaunaurd ◽  
H. C. Strifors
Keyword(s):  
Frequency Domain ◽  
Target Identification ◽  
Resonance Scattering ◽  
Convergent Series ◽  
Processing Technique ◽  
Signal Processing Technique ◽  
Time Frequency ◽  
Transient Scattering ◽  
Transient Resonance ◽  
Active Classification

The article presents an overview of transient resonance scattering, emphasizing one of its most important applications—the active classification of sonar and radar targets. It discusses traditional, classical techniques such as the Watson-Sommerfeld method (WSM) to transform classical, and slowly convergent normal-mode series in the frequency domain, to rapidly convergent series in the domain of the complex generalization, λ, of the mode-order, n. In view of its analytical complexity and the advent of computers that can overcome slow convergence difficulties, the WSM is not as popular today as it once was. Its main advantage remains its ability to extract physical interpretations from the mathematical results. Resonance scattering focuses on the resonance spectral region of targets. Of these, the penetrable (ie, elastic or dielectric) ones are the subjects of main interest here, particularly those insonified/illuminated by (finite) pulses of various types. The authors describe the exact isolation and extraction of the resonances contained within the scattering cross-section of a penetrable target by subtraction of suitable, background, geometrical contributions. These backgrounds are often given by the solution for an identical, but impenetrable target. This seems to be the main usefulness of impenetrable target solutions in underwater acoustics, which, generally, are physically unrealistic idealizations. The resonances identify the target as its fingerprint. Examples are shown to illustrate various transient scattering phenomena in acoustics and electromagnetism. The article shows exactly how the broadband pulses emitted by an impulse sonar (or radar) extract a substantial number of resonances from the echoes of penetrable targets. Further, it is shown how these are actually used to identify all physical characteristics of various analyzed targets, thus, indeed identifying them. The application of a novel signal processing technique that analyzes the echoes in the joint time-frequency domain is examined. This shows much promise for target identification purposes. Many distributions of the Wigner-type were used by us to generate simulated and experimental echo-displays in time-frequency that show the advantages of the process. The present overview supplements two earlier ones [23, 48] on closely related subjects. The article includes 101 references.

scholarly journals Active Classification for POMDPs: A Kalman-Like State Estimator

2014 ◽  
Vol 62 (23) ◽  
pp. 6209-6224 ◽  
Author(s):  
Daphney-Stavroula Zois ◽  
Marco Levorato ◽  
Urbashi Mitra
Keyword(s):  
State Estimator ◽  
Active Classification

scholarly journals Multiscale sampling model for motion integration

2013 ◽  
Vol 13 (11) ◽  
pp. 18-18
Author(s):  
L. Sherbakov ◽  
A. Yazdanbakhsh
Keyword(s):  
Motion Integration ◽  
Multiscale Sampling
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