On sparsity issues in compressive sensing based speech enhancement

@article{Wu2012OnSI,
  title={On sparsity issues in compressive sensing based speech enhancement},
  author={Dalei Wu and Jun Yan and M. N. Shanmukha Swamy},
  journal={2012 IEEE International Symposium on Circuits and Systems},
  year={2012},
  pages={285-288}
}
Signal sparsity is the fundamental requirement of compressive sensing (CS) techniques. In our previous work, a CS-based speech enhancement algorithm has been proposed. However, several issues concerning speech sparsity have not yet been thoroughly studied. In this paper, we focus on studying the following issues: (1) the sparsity of clean speech and audio signals; (2) the sparsity of various noise signals; (3) analysis of the capacity of two sparse transforms i.e., wavelet and discrete cosine… CONTINUE READING
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