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Compensation for Nonlinear Distortion of Horn Loudspeakers by Digital Signal Processing
Nonlinear distortion of horn loudspeakers can be compensated by prefiltering the electrical input signal inversely. A new filter architecture is derived from the results of nonlinear loudspeaker modeling using static nonlinear and dynamic linear subsystems. This special structure requires less computational effort and less memory than other generic architectures and allows complete compensation for the modeled nonlinear mechanisms. In practice, simplified versions of this filter can be implemented to compensate for dominant nonlinearities only. System identification performed on a particular horn loudspeaker provides valuable information about the dominant nonlinearity and allows adjustment of the free filter parameters. The implementation of an adequate filter structure for a professional loudspeaker in a DSP56000 is discussed, and results of the distortion reduction are presented.
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