A comparative study of audio compression based on compressed sensing and Sparse Fast Fourier transform (SFFT): Performance and challenges

Hossam M. Kasem, Maha El-Sabrouty. A comparative study of audio compression based on compressed sensing and Sparse Fast Fourier transform (SFFT): Performance and challenges. In IEEE International Symposium on Signal Processing and Information Technology, Athens, Greece, December 12-15, 2013. pages 452-457, IEEE, 2013. [doi]

@inproceedings{KasemE13,
  title = {A comparative study of audio compression based on compressed sensing and Sparse Fast Fourier transform (SFFT): Performance and challenges},
  author = {Hossam M. Kasem and Maha El-Sabrouty},
  year = {2013},
  doi = {10.1109/ISSPIT.2013.6781923},
  url = {http://dx.doi.org/10.1109/ISSPIT.2013.6781923},
  researchr = {https://researchr.org/publication/KasemE13},
  cites = {0},
  citedby = {0},
  pages = {452-457},
  booktitle = {IEEE International Symposium on Signal Processing and Information Technology, Athens, Greece, December 12-15, 2013},
  publisher = {IEEE},
}