Title | ||
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Embedded-Optimization-Based Loudspeaker Precompensation Using a Hammerstein Loudspeaker Model |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/TASLP.2014.2344862 | Audio, Speech, and Language Processing, IEEE/ACM Transactions |
Keywords | Field | DocType |
FIR filters,loudspeakers,optimisation,Hammerstein loudspeaker model,audio quality improvement,convergence properties,embedded-optimization-based loudspeaker precompensation algorithm,first-order optimization methods,linear finite impulse response filter,memoryless nonlinearity,per-frame signal optimization problems,perceptible distortion,psychoacoustic motivated optimization criterion,real loudspeaker model,synthetic loudspeaker models,Embedded optimization,gradient optimization,hammerstein model,loudspeaker precompensation,sound perception | Convergence (routing),Nonlinear system,Control theory,Computer science,Sound quality,Speech recognition,Cascade,Acoustics,Finite impulse response,Loudspeaker,Optimization problem,Distortion | Journal |
Volume | Issue | ISSN |
22 | 11 | 2329-9290 |
Citations | PageRank | References |
3 | 0.37 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bruno Defraene | 1 | 14 | 3.37 |
Toon van Waterschoot | 2 | 157 | 14.29 |
Moritz Diehl | 3 | 1343 | 134.37 |
Marc Moonen | 4 | 3673 | 326.91 |