Gibbs Sampling-based Sparse Estimation Method over Underwater Acoustic Channels
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11804-024-00415-4.pdf
Reference20 articles.
1. Casella G, George E I (1992) Explaining the Gibbs sampler. The American Statistician 46(3): 167–174. https://doi.org/10.1080/00031305.1992.10475878
2. Cho YH (2022) Fast Sparse Bayesian learning-based channel estimation for underwater acoustic OFDM systems. Applied Sciences 12(19): 10175. https://doi.org/10.3390/app121910175
3. Coleri S, Ergen M, Puri A, Bahai, A (2002) Channel estimation techniques based on pilot arrangement in OFDM systems. IEEE Transactions on broadcasting 48(3): 223–229. https://doi.org/10.1109/tbc.2002.804034
4. Feng X, Wang J, Sun H, Qi J, Qasem Z A, Cui Y (2023) Channel estimation for underwater acoustic OFDM communications via temporal sparse Bayesian learning. Signal Processing 207: 108951. https://doi.org/10.1016/j.sigpro.2023.108951
5. Gelfand AE, Lee TM (1993) Discussion on the meeting on the Gibbs sampler and other Markov Chain Monte Carlo methods. Journal of the Royal Statistical Society. Series B 55(1): 72–73. https://doi.org/10.1111/j.2517-6161.1993.tb01469.x
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