Adaptive Compressive Sensing of Speech Signals Based on Empirical Mode Decomposition

In this paper, an adaptive compressive sensing of speech signals is presented based on empirical mode decomposition (EMD). According to the different numbers of intrinsic mode functions (IMFs) produced by EMD, the speech signals is adaptively compressive sampled in the source and then adaptively reconstructed in the receiver. The three key technologies, that is, empirical mode decomposition, construction of adaptive dictionaries and adaptive reconstruction based on Bregman algorithm are discussed.