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Speech Compressive Sampling Using Approximate Message Passing and a Markov Chain Prior
By means of compressive sampling (CS), a sparse signal can be efficiently recovered from its far fewer samples than that required by the Nyquist–Shannon sampling theorem. However, recovering a speech signal from its CS samples is a challenging problem, as it is not sparse enough on any existing cano...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7472005/ https://ncbi.nlm.nih.gov/pubmed/32824410 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20164609 |
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