http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CA-2751717-C
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_137ad4f406af5b0333fbe8694f2ed4a9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_11d05e40924c78e685d633fda269401b |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V2210-00 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V1-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V1-307 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V1-30 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V1-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V1-28 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V1-24 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V1-40 |
| filingDate | 2009-12-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2015-10-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_37a153da81914a1658838e8bda6562c4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d698a847543382413af800c714bca16b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1d98abcd0486f5e4595d8d1fca28b0b3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9b4580ef2abf98eb0c8b4a09d915c6f7 |
| publicationDate | 2015-10-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CA-2751717-C |
| 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~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 |
| priorityDate | 2008-12-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 26.