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Compressed sensing (CS) is an emerging signal acquisition theory that directly collects signals in a compressed form if they are sparse on some certain basis. This paper focuses on the realization of CS on speech signals. Observing that different kind speech frames have different intra-frame correlations, we propose a frame-based adaptive compressed sensing(More)
Compressed sensing (CS) is a rising focus in recent years for its simultaneous sampling and compression of sparse signals. Speech signals can be considered approximately sparse or compressible in some domains for natural characteristics. Thus, it has great prospect to apply compressed sensing to speech signals. This paper is involved in three aspects.(More)
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