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Low bit rate transparent audio compression using adapted ...

    https://www.semanticscholar.org/paper/Low-bit-rate-transparent-audio-compression-using-Sinha-Tewfik/e4db4b1abe04242ffb52e97d54b98cb935ca4c59#:~:text=A%20wavelet%20based%20audio%20coding%20scheme%20that%20uses,64%20kb%2Fs%20for%20most%20audio%20signal.%20Expand%202
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Signal adaptive audio coding using wavelets and rate ...

    https://www.research-collection.ethz.ch/handle/20.500.11850/144865
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Project Report: Audio Compression using Wavelet …

    http://profesores.elo.utfsm.cl/~mzanartu/Documents/Wavelets%20Project.pdf
    “ High Quality Audio Compression Using an Adaptive Wavelet Packet Decomposition and Psychoacoustic Modeling ”, IEEE Transactions on Signal Processing, Vol 46, No. 4, April 1998. • To include a brief overview of current applications of wavelets techniques in the field of audio compression. • To simulate using MATLAB the main features of ...

AES E-Library » Audio Coding Based on Rate-Distortion …

    https://www.aes.org/e-lib/browse.cfm?elib=8066
    abstract={a new approach to audio coding based on optimization techniques is presented. in contrast to existing coding algorithms, this framework is based on a signal-adaptive filter bank which is controlled using optimization techniques for a rate distortion or perceptual metric. dynamic programming techniques allow one to optimize the time-frequency tiling of …

(PDF) Audio coding with a dynamic wavelet packet ...

    https://www.researchgate.net/publication/3644531_Audio_coding_with_a_dynamic_wavelet_packet_decomposition_based_onfrequency-varying_modulated_lapped_transforms
    The well known tree structure of cascaded 2-channel filterbanks allows a very flexible optimization, leading to a signal adaptive, dynamic wavelet packet decomposition. ...

Audio coding based on rate distortion and perceptual ...

    https://ui.adsabs.harvard.edu/abs/2000SPIE.4056..235E/abstract
    The large variety of existing audio signals, each exhibiting different coding requirements due to their different temporal and spectral fine-structure suggests to use a signal-adaptive algorithm. The framework which is described in this is paper makes use of a signal-adaptive wavelet filterbank which allows to switch any node of the wavelet-packet tree …

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