By Topic

New algorithm for searching minimum bit rate wavelet representations with application to multiresolution-based perceptual audio coding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Ruiz, N. ; Escuela Univ. Politenica, Univ. de Jaen, Spain ; Rosa, M. ; Lopez, F. ; Martinez, D.
more authors

Outlines an algorithm for searching minimum bit rate wavelet packet representations in a high quality wavelet-based perceptual audio coder. The algorithm applies wavelet tree and prototype filter adaptation to a perceptual cost function. To achieve such adaptive structure, a periodized wavelet packet transform is performed for each audio frame. After the transform, the encoder employs scalar adaptive quantization, controlled by a psycho-acoustic model in the wavelet domain, followed by entropy coding and bit packing. An adaptive Huffman algorithm that assumes Laplacian distributions for wavelet coefficients is used for entropy coding. A relevant feature of our coder is the method to translate the psycho-acoustic information to the wavelet domain, which allows using orthonormal wavelets of any compact support. Experimental results indicate that our coder ensures `transparent' coding of monophonic CD audio signals at bit rates lower than 64 kb/s for all the test signals

Published in:

Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:3 )

Date of Conference:

2000