Determining local transientness of audio signals

IEEE Signal Processing Letters

Volumn 11, Issue 7, 2004, Pages 625-628

  Molla, Stéphane ^a   Torrésani, Bruno ^a  

^a UNIVERSITÉ DE PROVENCE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ALGORITHMS; COMPUTER SIMULATION; COSINE TRANSFORMS; ESTIMATION; HARMONIC ANALYSIS; MATHEMATICAL MODELS; THEOREM PROVING; WAVELET TRANSFORMS; WHITE NOISE;

AUDIOPHONIC SIGNAL; LOCAL COSINE BASIS; SIGNAL TONAL; SIGNAL TRANSIENTS; SPARSE EXPANSION; WAVELET BASIS;

SIGNAL ENCODING;

EID: 3142683134     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2004.830110     Document Type: Article

References (15)

1. X. Rodet and F. Jaillet, "Detection and modeling of fast attack transients," in Proc. ICMC, La Habana, Cuba, 2001, pp. 30-33.
2. T. Verma, "A Perceptually Based Audio Signal Model With Application to Scalable AudiocCompression," Ph.D. dissertation, Stanford Univ., Syanford, CA, 2000.
3. L. Daudet and B. Torrésani, "Hybrid representations for audiophonic signal encoding," Signal Process., vol. 82, no. 11, pp. 1595-1617, 2002.
4. S. Levine and J. O. Smith, "A switched parametric and transform audio coder," in Proc. ICASSP., vol. 2, Phoenix, March 1999, pp. 985-988.
5. J. Berger, R. Coifman, and M. Goldberg, "Removing noise from music using local trigonometric bases and wavelet packets," J. Audio Eng. Soc., vol. 42, no. 10, pp. 808-818, 1994.
6. F. G. Meyer, A. Z. Averbush, and R. R. Coifman, "Multilayered image representation: Application to image compression," IEEE Trans. Image Processing, vol. 11, pp. 1072-1080, Sept. 2002.
7. J. Romberg, M. Wakin, and R. Baraniuk, "Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model," in Proc. IEEE ICIP, Sept. 2003.
8. R. Carmona, W. L. Hwang, and B. Torrésani, Practical Time-Frequency Analysis: Continuous Wavelet and Gabor Transforms, With an Implementation in S. San Diego, CA: Academic, 1998.
9. S. Mallat, A Wavelet Tour of Signal Processing. New York: Academic, 1998.
10. M. V. Wickerhauser, Adapted Wavelet Analysis From Theory to Software. Boston, MA: AK Peters, 1994.
11. D. L. Donoho and X. Huo, "Uncertainty principles and ideal atomic decompositions," IEEE Trans. Inform. Theory, vol. 47, no. 7, pp. 2845-2862, 2001.
12. M. Elad and A. M. Bruckstein, "A generalized uncertainty principle and sparse representations," IEEE Trans. Inform. Theory, vol. 48, no. 9, pp. 2558-2567, 2001.
13. R. Gribonval and M. Nielsen, "Sparse Representations in Union of Bases," Institut National de Recherches en Informatique et Automatique IRISA Rennes, Tech. Rep. 1499, 2003.
14. S. Molla and B. Torrésani, "An hybrid audio scheme using hidden Markov models of waveforms," Appl. Comp. Harmon. Anal., Sept. 2003, submitted for publication.
15. S. Molla and B. Torrésani, Hidden Markov Trees of Wavelet Coefficients for Transient Detection in Audiophonic Signals, A. Benassi, Ed: Annales de l'Université Blaise Pascal, 2003.