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Proceedings Paper

Adaptive Karhunen-Loeve transform for enhanced multichannel audio coding
Author(s): Dai Yang; Hongmei Ai; Christos Kyriakakis; C.-C. Jay Kuo
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Paper Abstract

A modified MPEG Advanced Audio Coding (AAC) scheme based on the Karhunen-Loeve transform (KLT) to remove inter-channel redundancy, which is called the MAACKL method, has been proposed in our previous work. However, a straightforward coding of elements of the KLT matrix generates about 240 bits per matrix for typical 5 channel audio contents. Such an overhead is too expensive so that it prevents MAACKL from updating KLT dynamically in a short period of time. In this research, we study the de-correlation efficiency of adaptive KLT as well as an efficient way to encode elements of the KLT matrix via vector quantization. The effect due to different quantization accuracy and adaptation period is examined carefully. It is demonstrated that with the smallest possible number of bits per matrix and a moderately long KLT adaptation time, the MAACKL algorithm can still generate a very good coding performance.

Paper Details

Date Published: 5 December 2001
PDF: 12 pages
Proc. SPIE 4475, Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications, (5 December 2001); doi: 10.1117/12.449594
Show Author Affiliations
Dai Yang, Univ. of Southern California (United States)
Hongmei Ai, Univ. of Southern California (United States)
Christos Kyriakakis, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 4475:
Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications
Mark S. Schmalz, Editor(s)

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