文件名称:Scalable-Audio-Coding
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可伸缩音频编码论文,2012年,IEEE Trans. on SALP上的,权威期刊-Current scalable audio coders typically optimize performance at a particular layer without regard to impact on
other layers, and are thus unable to provide a performance trade-off between different layers. In the particular case of
MPEG Scalable Advanced Audio Coding (S-AAC) and Scalable-to-Lossless (SLS) coding, the base-layer is optimized
first followed by successive optimization of higher layers, which ensures optimality of the base-layer but results in a
scalability penalty that progressively increases with the enhancement layer index. The ability to trade-off performance
between different layers enables alignment to the real world requirement for audio quality commensurate with the
bandwidth afforded by a user. This work provides the means to better control the performance tradeoffs, and the
distribution of the scalability penalty, between the base and enhancement layers. Specifically, it proposes an efficient
joint optimization algorithm that selects the encoding paramete
other layers, and are thus unable to provide a performance trade-off between different layers. In the particular case of
MPEG Scalable Advanced Audio Coding (S-AAC) and Scalable-to-Lossless (SLS) coding, the base-layer is optimized
first followed by successive optimization of higher layers, which ensures optimality of the base-layer but results in a
scalability penalty that progressively increases with the enhancement layer index. The ability to trade-off performance
between different layers enables alignment to the real world requirement for audio quality commensurate with the
bandwidth afforded by a user. This work provides the means to better control the performance tradeoffs, and the
distribution of the scalability penalty, between the base and enhancement layers. Specifically, it proposes an efficient
joint optimization algorithm that selects the encoding paramete
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Scalable Audio Coding.pdf