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Data Compression Conference (DCC'06)
Quantization of Transmission Parameters in Stereo Linear Predictive Systems
Snowbird, Utah
March 28-March 30
ISBN: 0-7695-2545-8
Arijit Biswas, Technical University Eindhoven, The Netherlands
Albertus C. den Brinker, Philips Research Laboratories, The Netherlands
Linear Prediction (LP) is a widely used technique in single-channel speech coding. LP can also be applied to stereo (or multi-channel) audio coding, but it requires a scheme for quantization and efficient transmission of Stereo-LP parameters. We propose to transmit the (forward) normalized reflection matrices together with the zero-lag correlation matrix. Furthermore, we select a parameterization for the matrices and a quantization strategy per parameter. The parameterization for the normalized reflection matrices is a variant of the Singular Value Decomposition (SVD). The proposed quantization scheme is evaluated for first-order Stereo-LP systems. As criterion, we use a Spectral Distortion (SD) measure based on the norm of the transfer matrix of the synthesis filter. Simulations show that the distortions can easily be controlled as a function of bit rate.
Citation:
Arijit Biswas, Albertus C. den Brinker, "Quantization of Transmission Parameters in Stereo Linear Predictive Systems," dcc, pp.262-271, Data Compression Conference (DCC'06), 2006
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