Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network

Research article (IET Communications, 2018) · cited 20× · AI/ML
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Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network

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Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network is a scholarly article[1].

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  • Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-approach-for-amc-in-frequency-selective-fading-scenarios-using-unsupervised-sparseautoencoderbased-deep-neural-ne
MLA “Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-approach-for-amc-in-frequency-selective-fading-scenarios-using-unsupervised-sparseautoencoderbased-deep-neural-ne.
BibTeX @misc{4ortxyz_robust-approach-for-amc-in-frequency-selective-fading-scenarios-using-unsupervised-sparseautoencoderbased-deep-neural-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network}}, year = {2026}, url = {https://4ort.xyz/entity/robust-approach-for-amc-in-frequency-selective-fading-scenarios-using-unsupervised-sparseautoencoderbased-deep-neural-ne}, note = {Accessed: 2026-05-24}}
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