Graph-based confidence verification for BPSK signal analysis under low SNRs
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/05/01
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Journal
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Indian UGC (journal)
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Refrences28
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Citations3
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Guobing Hu ORCID (unauthenticated)
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Zhengyu Chen
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Pinjiao Zhao
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Li Yang
Cite
Hu, Guobing, et al. “Graph-Based Confidence Verification for BPSK Signal Analysis under Low SNRs”. Signal Processing, vol. 206, 2023, p. 108898, https://doi.org/10.1016/j.sigpro.2022.108898.
Hu, G., Chen, Z., Zhao, P., & Yang, L. (2023). Graph-based confidence verification for BPSK signal analysis under low SNRs. Signal Processing, 206, 108898. https://doi.org/10.1016/j.sigpro.2022.108898
Hu G, Chen Z, Zhao P, Yang L. Graph-based confidence verification for BPSK signal analysis under low SNRs. Signal Processing. 2023;206:108898.
Journal Categories
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Adaptive confidence verification for analysis of BPSK signals | IEEE Transactions on Aerospace and Electronic Systems |
| 2022 | |
ANAPT: Additive noise analysis for persistence thresholding | Foundations of Data Science |
| 2 | 2022 |
| Adversarial attacks in modulation recognition with convolutional neural networks | 2020 | |||
| Robust modulation classification over α-stable noise using graph-based fractional lower-order cyclic spectrum analysis | IEEE Transactions on Vehicular Technology |
| 2020 | |
| Confidence evaluation of bpsk signal analysis based on EVT | IEEE Transactions on Aerospace and Electronic Systems |
| 2020 |
Refrences Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication 17
is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Aerospace and Electronic Systems The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Graph‐based spectrum sensing algorithm via nonlinear function regulation | IET Radar, Sonar & Navigation |
| 2024 | |
| Connectivity comparison of uniform quantization-based graph transformation and its application in spectrum sensing | Physical Communication |
| 2023 | |
| Spectrum Sensing Based on Graph Weighted Aggregation Operator | IEEE Communications Letters |
| 2023 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Connectivity comparison of uniform quantization-based graph transformation and its application in spectrum sensing and was published in 2023. The most recent citation comes from a 2024 study titled Graph‐based spectrum sensing algorithm via nonlinear function regulation. This article reached its peak citation in 2023, with 2 citations. It has been cited in 3 different journals, 33% of which are open access. Among related journals, the IET Radar, Sonar & Navigation cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.