Acoustic signal compression with wavelet packets
Wavelets: a tutorial in theory and applications
Adapted wavelet analysis from theory to software
Adapted wavelet analysis from theory to software
A new algorithm for translating psycho-acoustic information to the wavelet domain
Signal Processing - Special section on digital signal processing for multimedia communications and services
Best wavelet-packet bases for audio coding using perceptual and rate-distortion criteria
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
IEEE Transactions on Signal Processing
Wavelet-packet identification of dynamic systems in frequency subbands
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Efficiently synchronized spread-spectrum audio watermarking with improved psychoacoustic model
Research Letters in Signal Processing
Wavelet-based approach for transient modeling with application to parametric audio coding
Digital Signal Processing
Adaptive signal modeling based on sparse approximations for scalable parametric audio coding
IEEE Transactions on Audio, Speech, and Language Processing
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This paper describes a wavelet-based perceptual audio coder, addressing the problem of the search for the wavelet-packet decomposition that minimizes a new perceptual cost function computed in the wavelet domain. We are interested in decompositions adapted to the nature of audio signals which take into account the characteristics of human hearing. The results of audio coding with three different decomposition criteria are presented for comparison purposes. They all give rise to adaptive wavelet-trees obtained minimizing different cost functions. These cost functions are the nonnormalized Shannon entropy, the SUPER and our proposed perceptual cost function. Another important contribution is the algorithm for bit allocation, that takes into consideration the synthesis filter bank. The results confirm that the best way to achieve maximum compression rate and transparent coding is the usage of perceptual-entropy-based decompositions. Experimental results indicate that our coding scheme ensures transparent coding of one channel CD-quality audio signals at bit rates below 64 kbps for most audio signals.