Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8131a8bba2fa4d24ecc51ba724b409d3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2c8abd22b36e9c94090f9889ecf27cb5 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7f1415edb3b0bc382d76299e17e17e46 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_aa167897a816e0e598235c706de2c370 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_6190b55790f36ad2dab8c6f9fa172413 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_137ad4f406af5b0333fbe8694f2ed4a9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4ee2c8645e56beaf60f158116aed789c http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_11d05e40924c78e685d633fda269401b http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7b1a9255d389bb43c8cd404e8266623d http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_04a25ddcc405fe1eb2c9f5459a07a67b |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V2210-00 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V1-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V1-307 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V1-50 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V1-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V1-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V1-28 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V1-24 |
filingDate |
2009-12-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_780aa28140f589973c296136bea3a08d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_46a17a330e307ba41e884244ccb7dee1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d5b76e10fc7bd131aee231f5cc2ac8b9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ddbd4512afdb7d196ffec805472faa64 |
publicationDate |
2010-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
WO-2010075412-A2 |
titleOfInvention |
Automatic dispersion extraction of multiple time overlapped acoustic signals |
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 l ϵ 1 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. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2014169130-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10317545-B2 |
priorityDate |
2008-12-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |