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Audio Coding Based on Rate-Distortion and Perceptual Optimization Techniques

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A new approach to audio coding based on optimization techniques is presented. In contrast to existing coding algorithms, this framework is based on a signal-adaptive filter bank which is controlled using optimization techniques for a rate distortion or perceptual metric. Dynamic programming techniques allow one to optimize the time-frequency tiling of the filter bank and to minimize the distortion for a given bit budget.

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Permalink: http://www.aes.org/e-lib/browse.cfm?elib=8066

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