Embedded-Optimization-Based Loudspeaker Precompensation Using a Hammerstein Loudspeaker Model
| Autor: | Toon van Waterschoot, Moritz Diehl, Bruno Defraene, Marc Moonen |
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| Rok vydání: | 2014 |
| Předmět: |
Acoustics and Ultrasonics
Finite impulse response Computer science Acoustics Sound perception Physics::Classical Physics GeneralLiterature_MISCELLANEOUS Computational Mathematics Nonlinear system Computer Science::Sound Control theory Cascade Distortion Convergence (routing) Computer Science (miscellaneous) Loudspeaker Electrical and Electronic Engineering Sound quality |
| Zdroj: | IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22:1648-1659 |
| ISSN: | 2329-9304 2329-9290 |
| Popis: | This paper presents an embedded-optimization-based loudspeaker precompensation algorithm using a Hammerstein loudspeaker model, i.e. a cascade of a memoryless nonlinearity and a linear finite impulse response filter. The loudspeaker precompensation consists in a per-frame signal optimization. In order to minimize the perceptible distortion incurred in the loudspeaker, a psychoacoustically motivated optimization criterion is proposed. The resulting per-frame signal optimization problems are solved efficiently using first-order optimization methods. Depending on the invertibility and the smoothness of the memoryless nonlinearity, different first-order optimization methods are proposed and their convergence properties are analyzed. Objective evaluation experiments using synthetic loudspeaker models and real loudspeakers show that the proposed loudspeaker precompensation algorithm provides a significant audio quality improvement, especially so at high playback levels. |
| Databáze: | OpenAIRE |
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