| 摘要 |
<p>The invention proposes a digital filter that can be adapted to have appropriate filtering characteristics based on the signal being filtered. The invention uses a neural network (26) to adjust coefficients of a digital filter (20, 22), depending on whether a digital audio input signal (11) is more periodic or more aperiodic. If the digital audio input signal is more periodic, the coefficients will configure the digital filter so that the filter has characteristics of an analog brickwall filter. Whereas if the digital audio input signal is more aperiodic, the coefficients produced by the neural network will configure the digital filter to have more characteristics of an interpolation filter. The neural network is trained to recognize certain periodic and aperiodic signals and to produce digital filter parameters, preferably polynomial coefficients, correspondingly. The coefficients are selected to respond to the pure or blended periodic and aperiodic features of certain archetypal input signals.</p> |
