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K. Lee, Y. Park, and D. Youn, "Fixed-Point Processing Optimization of Mpeg Audio Encoder Using Statistical Model," Paper 7023, (2007 May.). doi: K. Lee, Y. Park, and D. Youn, "Fixed-Point Processing Optimization of Mpeg Audio Encoder Using Statistical Model," Paper 7023, (2007 May.). doi:
Abstract: Audio applications for portable devices have two critical restrictions: small size and low power consumption. Therefore, fixed-point implementations are essential for those applications. Even with a fixed-point processor, however, the data width still is an issue because it can affect both the hardware cost and power consumption. In this paper, we propose a statistical model for the MPEG AAC audio encoder that can provide an optimal precision for the implementation. The hardware with the optimal precision, being compared with the floating-point system, is supposed to have perceptually insignificant errors at its output. To have an optimal precision for the AAC encoder, we estimate the maximum allowable amount of fixed-point arithmetic errors in the bit-allocation process using the statistical model. Finally, we present a architecture for the system appropriate for encoding the audio signals with minimum errors by the fixed-point processing. Tests showed that the fixed-point system optimized using the proposed model had sound quality comparable to the floating-point encoding system.

@article{lee2007fixed-point,
author={lee, keun-sup and park, young-cheol and youn, dae-hee},
journal={journal of the audio engineering society},
title={fixed-point processing optimization of mpeg audio encoder using statistical model},
year={2007},
volume={},
number={},
pages={},
doi={},
month={may},} @article{lee2007fixed-point,
author={lee, keun-sup and park, young-cheol and youn, dae-hee},
journal={journal of the audio engineering society},
title={fixed-point processing optimization of mpeg audio encoder using statistical model},
year={2007},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={audio applications for portable devices have two critical restrictions: small size and low power consumption. therefore, fixed-point implementations are essential for those applications. even with a fixed-point processor, however, the data width still is an issue because it can affect both the hardware cost and power consumption. in this paper, we propose a statistical model for the mpeg aac audio encoder that can provide an optimal precision for the implementation. the hardware with the optimal precision, being compared with the floating-point system, is supposed to have perceptually insignificant errors at its output. to have an optimal precision for the aac encoder, we estimate the maximum allowable amount of fixed-point arithmetic errors in the bit-allocation process using the statistical model. finally, we present a architecture for the system appropriate for encoding the audio signals with minimum errors by the fixed-point processing. tests showed that the fixed-point system optimized using the proposed model had sound quality comparable to the floating-point encoding system.},}

TY - paper
TI - Fixed-Point Processing Optimization of Mpeg Audio Encoder Using Statistical Model
SP - EP -
AU - Lee, Keun-Sup
AU - Park, Young-Cheol
AU - Youn, Dae-Hee
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2007 TY - paper
TI - Fixed-Point Processing Optimization of Mpeg Audio Encoder Using Statistical Model
SP - EP -
AU - Lee, Keun-Sup
AU - Park, Young-Cheol
AU - Youn, Dae-Hee
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2007
AB - Audio applications for portable devices have two critical restrictions: small size and low power consumption. Therefore, fixed-point implementations are essential for those applications. Even with a fixed-point processor, however, the data width still is an issue because it can affect both the hardware cost and power consumption. In this paper, we propose a statistical model for the MPEG AAC audio encoder that can provide an optimal precision for the implementation. The hardware with the optimal precision, being compared with the floating-point system, is supposed to have perceptually insignificant errors at its output. To have an optimal precision for the AAC encoder, we estimate the maximum allowable amount of fixed-point arithmetic errors in the bit-allocation process using the statistical model. Finally, we present a architecture for the system appropriate for encoding the audio signals with minimum errors by the fixed-point processing. Tests showed that the fixed-point system optimized using the proposed model had sound quality comparable to the floating-point encoding system.