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Application of 1-D discrete wavelet transform based compressed sensing matrices for speech compression
BACKGROUND: Compressed sensing is a novel signal compression technique in which signal is compressed while sensing. The compressed signal is recovered with the only few numbers of observations compared to conventional Shannon–Nyquist sampling, and thus reduces the storage requirements. In this study...
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| Publicado no: | Springerplus |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5130972/ https://ncbi.nlm.nih.gov/pubmed/27995025 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-016-3740-x |
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