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M. Li, and W.. BA. Kleijn, "Quantization with Constrained Relative Entropy and Its Application to Audio Coding," Paper 7874, (2009 October.). doi: M. Li, and W.. BA. Kleijn, "Quantization with Constrained Relative Entropy and Its Application to Audio Coding," Paper 7874, (2009 October.). doi:
Abstract: Conventional quantization distorts the probability density of the source. In scenarios such as low bit rate audio coding, this leads to perceived distortion that is not well characterized by commonly used distortion criteria. We propose the relative entropy between the probability densities of the original and reconstructed signals as an additional fidelity measure. Quantization with a constraint on relative entropy ensures that the probability density of the signal is preserved to a controllable extent. When it is included in an audio coder, the new quantization facilitates a continuous transition between the underlying concepts of the vocoder, the bandwidth extension, and a rate-distortion optimized coder. Experiments confirm the effectiveness of the new quantization scheme.

@article{li2009quantization,
author={li, minyue and kleijn, w. bastiaan},
journal={journal of the audio engineering society},
title={quantization with constrained relative entropy and its application to audio coding},
year={2009},
volume={},
number={},
pages={},
doi={},
month={october},} @article{li2009quantization,
author={li, minyue and kleijn, w. bastiaan},
journal={journal of the audio engineering society},
title={quantization with constrained relative entropy and its application to audio coding},
year={2009},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={conventional quantization distorts the probability density of the source. in scenarios such as low bit rate audio coding, this leads to perceived distortion that is not well characterized by commonly used distortion criteria. we propose the relative entropy between the probability densities of the original and reconstructed signals as an additional fidelity measure. quantization with a constraint on relative entropy ensures that the probability density of the signal is preserved to a controllable extent. when it is included in an audio coder, the new quantization facilitates a continuous transition between the underlying concepts of the vocoder, the bandwidth extension, and a rate-distortion optimized coder. experiments confirm the effectiveness of the new quantization scheme.},}

TY - paper
TI - Quantization with Constrained Relative Entropy and Its Application to Audio Coding
SP - EP -
AU - Li, Minyue
AU - Kleijn, W. Bastiaan
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2009 TY - paper
TI - Quantization with Constrained Relative Entropy and Its Application to Audio Coding
SP - EP -
AU - Li, Minyue
AU - Kleijn, W. Bastiaan
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2009
AB - Conventional quantization distorts the probability density of the source. In scenarios such as low bit rate audio coding, this leads to perceived distortion that is not well characterized by commonly used distortion criteria. We propose the relative entropy between the probability densities of the original and reconstructed signals as an additional fidelity measure. Quantization with a constraint on relative entropy ensures that the probability density of the signal is preserved to a controllable extent. When it is included in an audio coder, the new quantization facilitates a continuous transition between the underlying concepts of the vocoder, the bandwidth extension, and a rate-distortion optimized coder. Experiments confirm the effectiveness of the new quantization scheme.