Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 385196, 6 pages
http://dx.doi.org/10.1155/2015/385196
Research Article

Development of the Audio Enhancement Method by Using the Reflected Signals in the Reverberant Environment

Department of Mechanical Engineering, National Yunlin University of Science and Technology, EM334B, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan

Received 29 September 2014; Accepted 26 December 2014

Academic Editor: Mo Li

Copyright © 2015 Shyang-Jye Chang and Hung-Wei Hsieh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. J. Bell and T. J. Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Computation, vol. 7, no. 6, pp. 1129–1159, 1995. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Zibulevsky and B. A. Pearlmutter, “Blind source separation by sparse decomposition in a signal dictionary,” Neural Computation, vol. 13, no. 4, pp. 863–882, 2001. View at Publisher · View at Google Scholar · View at Scopus
  3. B. D. van Veen and K. M. Buckley, “Beamforming: a versatile approach to spatial filtering,” IEEE ASSP Magazine, vol. 5, no. 2, pp. 4–24, 1988. View at Publisher · View at Google Scholar · View at Scopus
  4. S.-W. Gao and J. W. R. Griffiths, “Experimental performance of high-resolution array processing algorithms in a towed sonar array environment,” The Journal of the Acoustical Society of America, vol. 95, no. 4, pp. 2068–2080, 1994. View at Publisher · View at Google Scholar · View at Scopus
  5. P. S. Naidu and P. G. K. Mohan, “Signal subspace approach in localization of sound source in shallow water,” Signal Processing, vol. 24, no. 1, pp. 31–42, 1991. View at Publisher · View at Google Scholar · View at Scopus
  6. O. Hoshuyama, A. Sugiyama, and A. Hirano, “A robust adaptive beamformer for microphone arrays with a blocking matrix using constrained adaptive filters,” IEEE Transactions on Signal Processing, vol. 47, no. 10, pp. 2677–2684, 1999. View at Publisher · View at Google Scholar · View at Scopus
  7. L.-P. Yang and Q.-J. Fu, “Spectral subtraction-based speech enhancement for cochlear implant patients in background noise,” Journal of the Acoustical Society of America, vol. 117, no. 3, pp. 1001–1004, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. Z. Lin, R. A. Goubran, and R. M. Dansereau, “Noise estimation using speech/non-speech frame decision and subband spectral tracking,” Speech Communication, vol. 49, no. 7-8, pp. 542–557, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. D. S. Brungart, P. S. Chang, B. D. Simpson, and D. Wang, “Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation,” Journal of the Acoustical Society of America, vol. 120, no. 6, pp. 4007–4018, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. B. X. Zhang, C. H. Wang, and M. H. Lu, “Study of self-focusing in underwater by time reversal method,” Chinese Journal of Acoustics, vol. 22, no. 1, pp. 22–32, 2003. View at Google Scholar
  11. G. Montaldo, M. Tanter, and M. Fink, “Real time inverse filter focusing through iterative time reversal,” The Journal of the Acoustical Society of America, vol. 115, no. 2, pp. 768–775, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. K. G. Sabra, P. Roux, H.-C. Song et al., “Experimental demonstration of iterative time-reversed reverberation focusing in a rough waveguide. Application to target detection,” The Journal of the Acoustical Society of America, vol. 120, no. 3, pp. 1305–1314, 2006. View at Publisher · View at Google Scholar · View at Scopus