Matches in SemOpenAlex for { <https://semopenalex.org/work/W2803896706> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W2803896706 abstract "In this paper, a modulation recognition algorithm based on Stacked sparse Auto-Encoder (SSAE) is proposed for the classification of common digitally modulated signals. To this end, a set of eight features including, two instantaneous features and six higher order cumulants features are extracted from the intercepted signal; these features are then fed to the SSAE for classification. Unlike the majority of classifiers used in AMR algorithms, which relies only on the supervised learning scenario, the stacked sparse autoencoder benefits from both, unsupervised and supervised learning approaches. In fact, the main advantage of the SSAE is that it can automatically learn new features to separate the input data during the unsupervised pre-training phase. These new features are used as initialization parameters in the supervised training phase to enhance the convergence of the SSAE to optimal results, as well as improve the noise resistance of the eight features extracted before. Results show that the overall success rate reach 100 % at 5dB SNR. The performance of the proposed algorithm is compared to an SVM-based method, and it is found that the probability of correct classification in our method is considerably improved." @default.
- W2803896706 created "2018-06-01" @default.
- W2803896706 creator A5007751673 @default.
- W2803896706 creator A5019108174 @default.
- W2803896706 creator A5059868481 @default.
- W2803896706 date "2017-10-01" @default.
- W2803896706 modified "2023-10-16" @default.
- W2803896706 title "Automatic digital modulation recognition based on stacked sparse autoencoder" @default.
- W2803896706 cites W1521894879 @default.
- W2803896706 cites W1880555763 @default.
- W2803896706 cites W1982867989 @default.
- W2803896706 cites W2002643600 @default.
- W2803896706 cites W2009083069 @default.
- W2803896706 cites W2038671465 @default.
- W2803896706 cites W2057237358 @default.
- W2803896706 cites W2249582208 @default.
- W2803896706 cites W2541876556 @default.
- W2803896706 cites W2560036562 @default.
- W2803896706 doi "https://doi.org/10.1109/icct.2017.8359478" @default.
- W2803896706 hasPublicationYear "2017" @default.
- W2803896706 type Work @default.
- W2803896706 sameAs 2803896706 @default.
- W2803896706 citedByCount "9" @default.
- W2803896706 countsByYear W28038967062018 @default.
- W2803896706 countsByYear W28038967062020 @default.
- W2803896706 countsByYear W28038967062021 @default.
- W2803896706 crossrefType "proceedings-article" @default.
- W2803896706 hasAuthorship W2803896706A5007751673 @default.
- W2803896706 hasAuthorship W2803896706A5019108174 @default.
- W2803896706 hasAuthorship W2803896706A5059868481 @default.
- W2803896706 hasConcept C101738243 @default.
- W2803896706 hasConcept C108583219 @default.
- W2803896706 hasConcept C121332964 @default.
- W2803896706 hasConcept C123079801 @default.
- W2803896706 hasConcept C153180895 @default.
- W2803896706 hasConcept C154945302 @default.
- W2803896706 hasConcept C24890656 @default.
- W2803896706 hasConcept C28490314 @default.
- W2803896706 hasConcept C41008148 @default.
- W2803896706 hasConceptScore W2803896706C101738243 @default.
- W2803896706 hasConceptScore W2803896706C108583219 @default.
- W2803896706 hasConceptScore W2803896706C121332964 @default.
- W2803896706 hasConceptScore W2803896706C123079801 @default.
- W2803896706 hasConceptScore W2803896706C153180895 @default.
- W2803896706 hasConceptScore W2803896706C154945302 @default.
- W2803896706 hasConceptScore W2803896706C24890656 @default.
- W2803896706 hasConceptScore W2803896706C28490314 @default.
- W2803896706 hasConceptScore W2803896706C41008148 @default.
- W2803896706 hasLocation W28038967061 @default.
- W2803896706 hasOpenAccess W2803896706 @default.
- W2803896706 hasPrimaryLocation W28038967061 @default.
- W2803896706 hasRelatedWork W2592385986 @default.
- W2803896706 hasRelatedWork W2772780115 @default.
- W2803896706 hasRelatedWork W2775464024 @default.
- W2803896706 hasRelatedWork W2785535669 @default.
- W2803896706 hasRelatedWork W2897995864 @default.
- W2803896706 hasRelatedWork W2966657595 @default.
- W2803896706 hasRelatedWork W2998168123 @default.
- W2803896706 hasRelatedWork W3090006671 @default.
- W2803896706 hasRelatedWork W4281924768 @default.
- W2803896706 hasRelatedWork W4287995534 @default.
- W2803896706 isParatext "false" @default.
- W2803896706 isRetracted "false" @default.
- W2803896706 magId "2803896706" @default.
- W2803896706 workType "article" @default.