Audio quantization from a receding horizon control perspective
Audio quantization from a receding horizon control perspective
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从后退水平控制角度看音频量化
DOI：
10.1109/acc.2003.1240483
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
G. Goodwin
中科院分区：
文献类型：
--
作者：
D. Quevedo;G. Goodwin
通过引入心理声学方面，将音频量化问题转化为具有有限输入约束集的有限视界最优控制问题。得到了显式解。它的后退视界实现产生后退视界量化器（RHQ）。RHQ对应于一个闭环，它将广泛采用的噪声整形量化器嵌入到一个更广泛的框架中，并允许增强性能。此外，还描述了次优算法，并通过实例说明了它们的行为。
By introducing psycho-acoustical aspects, the audio quantization problem is translated into a finite horizon optimal control problem with a finite input constraint set. An explicit solution is obtained. Its receding horizon implementation gives rise to the receding horizon quantizer (RHQ). The RHQ corresponds to a closed loop, which embeds the widely-adopted noise shaping quantizer in a broader framework and allows for enhanced performance. Furthermore, suboptimal algorithms are described and their behaviour illustrated by means of an example.