http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106067004-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-02 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate | 2016-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2019-07-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2019-07-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-106067004-B |
| titleOfInvention | A method for identifying digitally modulated signals under impulse noise |
| abstract | The invention discloses a method for identifying a digital modulated signal under impulse noise. The method comprises the following steps: calculating a fractional low-order ambiguity function of the digital modulated signal; , and convert the cut plane into a two-dimensional image and fill under the edge of the image to make it a color image with color; grayscale, binarize, divide the image, and normalize the size of the color image, and then The image is translated and scale normalized; the Zernike moment of the image is extracted as the feature vector for identification, and the digital modulation signal is identified by the probabilistic neural network classifier. The present invention has good identification performance for digital modulation signals 2ASK, 4ASK, 2FSK, 4FSK and BPSK under the standard distribution impulse noise. |
| priorityDate | 2016-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 17.