http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108924148-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L69-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W84-18 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L29-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W84-18 |
| filingDate | 2018-07-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-07-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-07-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108924148-B |
| titleOfInvention | Multi-source signal collaborative compressed sensing data recovery method |
| abstract | The invention discloses a multi-source signal collaborative compressed sensing data recovery method, which comprises the following steps: step 1: a sink node in the wireless sensor network acquires historical data of each sensor node, and a sparse structure information matrix is calculated by utilizing the historical data and a first optimization equation; step 2: the sink node receives a compressed sensing measurement result matrix to be processed transmitted by each sensor node; and step 3: the sink node performs data recovery operation on the compressed sensing measurement result matrix to be processed of each sensor node by using the sparse structure information matrix calculated in the step 1 to obtain recovery data; and the recovery data is a corresponding recovery result of the current data to be transmitted of each sensor node after compressed sensing measurement. The sparse structure information matrix is trained through the compressed sensing measurement result matrix of the historical data, and the information loss in the compressed sensing measurement process is considered in the training process, so that the accuracy of subsequent data recovery is improved. |
| priorityDate | 2018-07-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 16.