Frame-Based Adaptive Compressed Sensing of Speech Signal

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 framework for speech signals, which applies adaptive projection matrix. Experimental results show significant improvement of speech reconstruction quality by using such adaptive approach against using traditional non-adaptive projection matrix.