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Audio Compression Using a Munich and Cambridge …
https://ieeexplore.ieee.org/document/5206922/
Audio Compression Using a Munich and Cambridge Morlet Wavelet Abstract: Most psycho-acoustic models for coding applications use a uniform (equal bandwidth) spectral decomposition as a first step to approximate the frequency selectivity of the human auditory system.
Audio Compression using Munich and Cambridge …
https://globaljournals.org/GJCST_Volume13/4-Audio-Compression-using-Munich.pdf
Abstract - The main aim of work is to develop morlet wavelet using Munich and Cambridge filters, for audio compression and most psycho-acoustic models for coding applications use a uniform -equal bandwidth, spectral decomposition for compression. In this paper we present a new design of a psycho-acoustic model for audio coding following the model
(PDF) Audio Compression using Munich and Cambridge …
https://www.academia.edu/42624622/Audio_Compression_using_Munich_and_Cambridge_Filters_for_Audio_Coding_with_Morlet_Wavelet
The main aim of work is to develop morlet wavelet using Munich and Cambridge filters, for audio compression and most psycho-acoustic models for coding applications use a uniform-equal bandwidth, spectral decomposition for compression. In this paper
Audio Compression Using a Munich and Cambridge …
https://www.computer.org/csdl/proceedings-article/mmedia/2009/3693a001/12OmNvpw7eu
This architecture is based on appropriate wavelet packet decomposition instead of a short term Fourier transformation. Its important characteristic is to propose an analysis of the frequency bands that come closer to the critical bands of the ear. This study shows the best performance of the Morlet Munich coder.
Audio Compression Using a Munich and Cambridge …
https://www.semanticscholar.org/paper/Audio-Compression-Using-a-Munich-and-Cambridge-Abid-Ouni/92b28ef160f389ffe6788e475b8a27e88ea3bf4b
This architecture is based on appropriate wavelet packet decomposition instead of a short term Fourier transformation. Its important characteristic is to propose an analysis of the frequency bands that come closer to the critical bands of the ear. This study shows the best performance of the Morlet Munich coder.
Audio Compression Using a Munich and Cambridge Morlet Wavelet
https://scholar.archive.org/work/wozkcqleq5cydl36ol7io7qqyi
Citation. Khalil Abid, Kais Ouni. "Audio Compression Using a Munich and Cambridge Morlet Wavelet." 2009 First International Conference on Advances in Multimedia (2009) 1-5
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