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Multivariate block polar quantization
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2005 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 53, no 12, 2043-2053 p.Article in journal (Refereed) Published
Abstract [en]

We introduce multivariate block polar quantization (MBPQ). MBPQ minimizes the weighted squared-error distortion for a set of complex variables representing one block of a signal under a resolution constraint for the entire block. MBPQ performs below the lower bound for classical bivariate quantization, both for Gaussian complex variables and for complex variables found from sinusoidal analysis of audio data. Still, it is of similar complexity as traditional polar quantizers. In the case of audio data, we found a performance gain of about 2.5 dB over the best performing conventional resolution-constrained polar quantization (an extension of unrestricted polar quantization).

Place, publisher, year, edition, pages
2005. Vol. 53, no 12, 2043-2053 p.
Keyword [en]
audio coding, high rate, polar quantization, rate-distortion theory, scalar quantization, discrete fourier-transform, vector quantization
National Category
Communication Systems
URN: urn:nbn:se:kth:diva-15257DOI: 10.1109/TCOMM.2005.860068ISI: 000234040700013ScopusID: 2-s2.0-30344477663OAI: diva2:333298
QC 20100525 QC 20111012Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2011-10-12Bibliographically approved

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Kleijn, W. Bastiaan
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