Application of 1-D discrete wavelet transform based compressed sensing matrices for speech compression
نویسندگان
چکیده
منابع مشابه
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, we have proposed the 1-D discrete wavelet transform (DWT) based sensing matrices for speech sign...
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ژورنال
عنوان ژورنال: SpringerPlus
سال: 2016
ISSN: 2193-1801
DOI: 10.1186/s40064-016-3740-x