Towards a hybrid audio coder

Proceedings of the International Computer Congress 2004 on Wavelet Analysis and its Applications, and Active Media Technology

Volumn 1, Issue , 2004, Pages 13-24

  Daudet, L ^a   Molla, S ^b   Torresani, B ^b  

^a SORBONNE UNIVERSITÉ   (France)

^b AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; AUDIO SYSTEMS; LINEAR EQUATIONS; MATHEMATICAL MODELS; NUMERICAL ANALYSIS; SET THEORY; SIGNAL PROCESSING;

AUDIO SIGNALS; DIGITAL AUDIOPHONIC SIGNAL CODING; NONLINEAR APPROXIMATION; TRANSFORM CODING;

SIGNAL ENCODING;

EID: 4344658655     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1142/9789812702654_0002     Document Type: Conference Paper

References (20)

1. J. Berger, R. Coifman and M. Goldberg, Removing noise from music using local trigonometric bases and wavelet packets. J. Audio Eng. Soc., 42(10) (1994), pp. 808-818.
2. A. Cohen, W. Dahmen, I. Daubechies and R. DeVore, Tree approximation and optimal encoding. Appl. Comput. Harmon. Anal. 11(2) (2001), pp.192-226.
3. M. S. Crouse, R. D. Nowak and R. G. Baraniuk, Wavelet-Based Signal Processing using Hidden Markov Models, IEEE Transactions on Signal Processing 46 (1998), pp. 886-902.
4. I. Daubechies, Ten lectures on wavelets. SIAM, Philadelphia, PA.
5. L. Daudet and B. Torrésani, Hybrid models for audio signals encoding, Sig. Proc. 16 (2002), 793-810
6. L. Daudet and M. Sandler, MDCT analysis of sinusoids: exact results and applications to coding artifacts reduction, IEEE Trans. ASSP, to appear (2004).
7. D.L. Donoho and X. Huo, Uncertainty principles and ideal atomic decompositions, IEEE Trans. Inf. Th. 47(7) (2001), 2845-2862.
8. M. Elad and A.M. Bruckstein, A generalized uncertainty principle and sparse representations, IEEE Trans. Inf. Th. 48(9) (2001), 2558-2567.
9. R. Gribonval and M. Nielsen, Sparse representations in union of bases, Technical Report 1499, Institut National de Recherches en Informatique et Automatique, IRISA Rennes (2003).
10. N. S. Jayant and P. Noll. Digital coding of waveforms. Prentice-Hall, 1984.
11. S. Levine. Audio Representations for Data Compression and Compressed Domain Processing. PhD thesis, Stanford University, 1998.
12. S. Mallat and Z. Zhang. Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing, 41 (1993), 3397-3415.
13. F.G. Meyer, A.Z. Averbush and R.R. Coifman, Multilayered Image Representation: Application to Image Compression, IEEE Transactions on Image Processing 11 (2002), 1072-1080.
14. S. Molla and B. Torrésani, Determining local transientness of audio signals, IEEE Signal Processing Letters, to appear (2004).
15. S. Molla and B. Torrésani. An Hybrid Audio Scheme using Hidden Markov Models of Waveforms, Preprint, Sept. 2003, submitted to Appl. and Comp. Harm. Anal.
16. X. Serra. A System for Sound Analysis/Transformation/Synthesis based on a Deterministic plus Stochastic Decomposition. PhD thesis, Stanford University (1989).
17. J. M. Shapiro. Embedded image coding using zerotrees of wavelet coefficients. IEEE Trans. Signal Processing, 41(12) (1993), 3445-3462.
18. T. Verma, A Perceptually Based Audio Signal Model With Application to Scalable Audio Compression, PhD thesis, Stanford University (2000).
19. M. Vetterli and J. Kovacevic. Wavelets and subband coding. Prentice Hall, Englewood Cliffs, NJ, USA, 1995.
20. M. V. Wickerhauser. Adapted Wavelet Analysis from Theory to Software. AK Peters, Boston, MA, USA, 1994.