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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130972/ https://www.ncbi.nlm.nih.gov/pubmed/27995025 http://dx.doi.org/10.1186/s40064-016-3740-x |