Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379383619> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W4379383619 endingPage "104100" @default.
- W4379383619 startingPage "104100" @default.
- W4379383619 abstract "As wireless communication advances, the spectrum is becoming more crowded and overlapping, making it essential to determine the number of signal sources based on the received signal in signal processing. In various communication scenarios, single-channel reception is preferred over multi-channel reception due to its simplicity, reliability, and cost-effectiveness. However, most existing methods for estimating the number of sources in single-channel systems are adapted from multi-channel methods and require high signal-to-noise ratios (SNRs). To overcome this limitation, we explore a deep learning-based solution for estimating the number of sources in single-channel systems. Our method utilizes a signal reconstruction algorithm based on low-rank representation to recover the essential structure of the signal and suppress noise. The reconstructed signal is then transformed into a radio image, taking into account the correlation and feature completeness of the information. Moreover, we develop a lightweight hybrid classification (LHC) model capable of estimating source number by using small sample images, without the need for extensive data. Our experimental results demonstrate the effectiveness of this method in estimating the number of sources under low SNR and small samples conditions." @default.
- W4379383619 created "2023-06-06" @default.
- W4379383619 creator A5045596138 @default.
- W4379383619 creator A5046725033 @default.
- W4379383619 date "2023-08-01" @default.
- W4379383619 modified "2023-09-29" @default.
- W4379383619 title "Source number of single-channel signals intelligent estimation via signal reconstruction" @default.
- W4379383619 cites W1928783768 @default.
- W4379383619 cites W1966516236 @default.
- W4379383619 cites W1997201895 @default.
- W4379383619 cites W2032534917 @default.
- W4379383619 cites W2081586386 @default.
- W4379383619 cites W2084983808 @default.
- W4379383619 cites W2108165393 @default.
- W4379383619 cites W2116417984 @default.
- W4379383619 cites W2120500212 @default.
- W4379383619 cites W2608501919 @default.
- W4379383619 cites W2619148201 @default.
- W4379383619 cites W2731097456 @default.
- W4379383619 cites W2732959879 @default.
- W4379383619 cites W2761752711 @default.
- W4379383619 cites W2891475112 @default.
- W4379383619 cites W2907323735 @default.
- W4379383619 cites W2908603469 @default.
- W4379383619 cites W2931511434 @default.
- W4379383619 cites W3100203369 @default.
- W4379383619 cites W3102628653 @default.
- W4379383619 cites W3119713202 @default.
- W4379383619 cites W3123287815 @default.
- W4379383619 cites W3124551778 @default.
- W4379383619 cites W3130018464 @default.
- W4379383619 cites W3136842679 @default.
- W4379383619 cites W3157326231 @default.
- W4379383619 cites W3161293134 @default.
- W4379383619 cites W3208749275 @default.
- W4379383619 cites W4285186686 @default.
- W4379383619 cites W4288056236 @default.
- W4379383619 cites W4308455602 @default.
- W4379383619 doi "https://doi.org/10.1016/j.dsp.2023.104100" @default.
- W4379383619 hasPublicationYear "2023" @default.
- W4379383619 type Work @default.
- W4379383619 citedByCount "1" @default.
- W4379383619 countsByYear W43793836192023 @default.
- W4379383619 crossrefType "journal-article" @default.
- W4379383619 hasAuthorship W4379383619A5045596138 @default.
- W4379383619 hasAuthorship W4379383619A5046725033 @default.
- W4379383619 hasConcept C104267543 @default.
- W4379383619 hasConcept C11413529 @default.
- W4379383619 hasConcept C115961682 @default.
- W4379383619 hasConcept C127162648 @default.
- W4379383619 hasConcept C13944312 @default.
- W4379383619 hasConcept C153180895 @default.
- W4379383619 hasConcept C154945302 @default.
- W4379383619 hasConcept C199360897 @default.
- W4379383619 hasConcept C2777121530 @default.
- W4379383619 hasConcept C2779843651 @default.
- W4379383619 hasConcept C41008148 @default.
- W4379383619 hasConcept C554190296 @default.
- W4379383619 hasConcept C70958404 @default.
- W4379383619 hasConcept C76155785 @default.
- W4379383619 hasConcept C99498987 @default.
- W4379383619 hasConceptScore W4379383619C104267543 @default.
- W4379383619 hasConceptScore W4379383619C11413529 @default.
- W4379383619 hasConceptScore W4379383619C115961682 @default.
- W4379383619 hasConceptScore W4379383619C127162648 @default.
- W4379383619 hasConceptScore W4379383619C13944312 @default.
- W4379383619 hasConceptScore W4379383619C153180895 @default.
- W4379383619 hasConceptScore W4379383619C154945302 @default.
- W4379383619 hasConceptScore W4379383619C199360897 @default.
- W4379383619 hasConceptScore W4379383619C2777121530 @default.
- W4379383619 hasConceptScore W4379383619C2779843651 @default.
- W4379383619 hasConceptScore W4379383619C41008148 @default.
- W4379383619 hasConceptScore W4379383619C554190296 @default.
- W4379383619 hasConceptScore W4379383619C70958404 @default.
- W4379383619 hasConceptScore W4379383619C76155785 @default.
- W4379383619 hasConceptScore W4379383619C99498987 @default.
- W4379383619 hasLocation W43793836191 @default.
- W4379383619 hasOpenAccess W4379383619 @default.
- W4379383619 hasPrimaryLocation W43793836191 @default.
- W4379383619 hasRelatedWork W1536373746 @default.
- W4379383619 hasRelatedWork W1571414183 @default.
- W4379383619 hasRelatedWork W1633101861 @default.
- W4379383619 hasRelatedWork W1993775099 @default.
- W4379383619 hasRelatedWork W2027341112 @default.
- W4379383619 hasRelatedWork W2111075373 @default.
- W4379383619 hasRelatedWork W2608562242 @default.
- W4379383619 hasRelatedWork W3015383773 @default.
- W4379383619 hasRelatedWork W3212425290 @default.
- W4379383619 hasRelatedWork W2184652851 @default.
- W4379383619 hasVolume "140" @default.
- W4379383619 isParatext "false" @default.
- W4379383619 isRetracted "false" @default.
- W4379383619 workType "article" @default.