有损音频编码中心理声学分析对小波域的适应

G. Rogozinsky, Daniel R. Fadeyev, D. Podolsky
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引用次数: 1

摘要

本文介绍了作者目前在离散小波包编码算法中对MPEG - AAC心理声学模型的自适应研究。我们发现小波量化噪声在音频频谱上的复杂分布是由于显著的跨频带混叠。得到了与MPEG AAC心理声学模型分析波段相关的小波量化噪声函数。该方法提供了量化矩阵,可用于有损编码过程中整体量化噪声的精确估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptation of Psychoacoustic analysis to wavelet domain in lossy audio coding
The paper presents the authors' current research in adaptation of the MPEG AAC Psychoacoustic Model to the Discrete Wavelet Packet coding algorithm. We discovered the complex distribution of wavelet quantization noise across the audio spectrum due to significant cross-band aliasing. We also obtained the wavelet quantization noise function related to the analysis bands of MPEG AAC Psychoacoustic Model. The described approach provided the quantization matrix, which can be used for exact estimation of overall quantization noise during lossy coding.
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