Temporally weighting a time varying noise field to improve Green function retrieval
| Autor: | Richard L. Weaver, John Y. Yoritomo |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Acoustics and Ultrasonics Scattering Computer science Numerical analysis Isotropy Stacking Direct numerical simulation 010502 geochemistry & geophysics 01 natural sciences Rendering (computer graphics) Weighting Noise Arts and Humanities (miscellaneous) Algorithm 0105 earth and related environmental sciences |
| Zdroj: | The Journal of the Acoustical Society of America. 143:3706-3719 |
| ISSN: | 0001-4966 |
| Popis: | The authors consider the retrieval of Green functions G from the correlations of non-stationary non-fully diffuse noise incident on an array of sensors. Multiple schemes are proposed for optimizing the time-varying weights with which correlations may be stacked. Using noise records created by direct numerical simulation of waves in a two-dimensional multiply scattering medium, cases are shown in which conventional stacking does a poor job and for which the proposed schemes substantially improve the recovered G, rendering it more causal and/or more symmetric, and more similar to the actual G. It is found that the schemes choose weights such that the effective incident intensity distribution is closer to isotropic. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|