http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115017964-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_052a9db42e32a622fd7a5b606b68799e |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-30 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V3-38 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-02 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N7-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V3-38 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate | 2022-08-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3bb70f4127d6c9c49339858b1313e320 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cf8bb46f78f406d9a9f629b8224a2573 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b50434f32009f015e4390370a7848c73 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_555bc8bb27c21beaf038eb027fe1ace9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a778ea07d1d95d90da5016d36c1c47a0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5fd5dc6e11c0d2062457b0846203ed6e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5903f0ae91c5adb8e6a6da35a2b3d00e |
| publicationDate | 2022-09-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-115017964-A |
| titleOfInvention | Method and system for denoising of magnetotelluric signals based on sparse representation of attention mechanism |
| abstract | The invention discloses a method and system for denoising a magnetotelluric signal based on sparse representation of an attention mechanism. The method obtains a magnetotelluric signal to be denoised and a redundant dictionary, and segments the magnetotelluric signal; and then calculates Each magnetotelluric signal segment and the attention weight of each atom in the redundant dictionary; and then extract the minimum subset of each segment signal from the redundant dictionary based on the attention weight, and then use each atom in the minimum subset to represent The sparse coding matrix, and then the noise contour matrix is obtained based on the product of the sparse coding matrix and the redundant dictionary, and finally the noise contour matrix is used to denoise the signal to be processed. The above method can effectively suppress the large-scale noise in the original magnetotelluric signal, retain the low-frequency slow change trend, and the processing speed is fast, thereby improving the quality of the magnetotelluric signal data, and providing a reliable basis for the subsequent interpretation of the real underground structure. |
| priorityDate | 2022-08-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID413130148 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID16734986 |
Total number of triples: 25.