Automatic dispersion extraction of multiple time overlapped acoustic signals
US8339897B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Dec 22, 2009 |
| Grant date | Dec 25, 2012 |
| Priority date | — |
| Expiry date | Jan 8, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Slowness dispersion characteristics of multiple possibly interfering signals in broadband acoustic waves as received by an array of two or more sensors are extracted without using a physical model. The problem of dispersion extraction is mapped to the problem of reconstructing signals having a sparse representation in an appropriately chosen over-complete dictionary of basis elements. A sparsity penalized signal reconstruction algorithm is described where the sparsity constraints are implemented by imposing a l1 norm type penalty. The candidate modes that are extracted are consolidated by means of a clustering algorithm to extract phase and group slowness estimates at a number of frequencies which are then used to reconstruct the desired dispersion curves. These estimates can be further refined by building time domain propagators when signals are known to be time compact, such as by using the continuous wavelet transform.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.