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ESTIMATING PARAMETER VALUES FOR A LUMPED PARAMETER MODEL OF A LOUDSPEAKER
ESTIMATING PARAMETER VALUES FOR A LUMPED PARAMETER MODEL OF A LOUDSPEAKER
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机译:扩音器集总参数模型的参数值估计
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摘要
In one embodiment of the present invention, a loudspeaker parameter estimation subsystem efficiently and accurately estimates parameter values for a lumped parameter model (LPM) of a loudspeaker. In operation, the loudspeaker parameter estimation subsystem trains a neural network model based on responses generated via the lumped parameter model and the corresponding sets of parameter values. Subsequently, based on the relationship between the measured output response of a loudspeaker to an input stimulus, the loudspeaker parameter estimation subsystem estimates parameter values for the LPM of the loudspeaker. Advantageously, by sagaciously estimating parameter values for the LPM of loudspeakers, these NN-based techniques enable designers to leverage the LPM to reliably improve the design of loudspeakers, perform nonlinear correction of loudspeakers, and the like.
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