Learnable Markov Chain Monte Carlo Sampling Methods for Lattice Gaussian Distribution
As a key ingredient of machine learning and artificial intelligence, the sampling algorithms with respect to lattice Gaussian distribution has emerged as an important problem in coding and decoding of wireless communications. In this paper, based on the conventional Gibbs sampling, the learnable del...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/8747498/ |
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