Adaptive wavelet-packet analysis for audio coding purposes
Signal Processing
Matching Pursuit With Damped Sinusoids
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
A perceptually based audio signal model with application to scalable audio compression
A perceptually based audio signal model with application to scalable audio compression
Low bit rate high quality audio coding with combined harmonic and wavelet representations
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Sinusoidal modeling using frame-based perceptually weighted matching pursuits
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
A switched parametric and transform audio coder
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
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In this paper we intend to optimize a wavelet-based dictionary for transient modeling with application to parametric audio coding. Transient modeling is performed by matching pursuit with an overcomplete dictionary composed of orthonormal wavelet functions that implement a wavelet-packet filter bank. We try to find the prototype filter length, the decomposition depth and the orthogonal wavelet family that lead to the best balance between mean squared error and computational cost. We are also interested in the structure of the wavelet decomposition tree. In such sense, comparison between the wavelet transform and the full wavelet-packet transform is performed. Finally, comparative analysis between wavelets and exponentially damped sinusoids is shown in experimental results. The proposed transient modeling method is suitable to be integrated into a parametric audio coder based on the three-part model of sines, transients and noise (STN model).