Digital signal processing techniques for audio applications
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This thesis proposes two effective digital signal processing techniques for the audio applications. The full-band technique performs the audio equalization at the full frequency band and the subband technique at the low-frequency band. Both full-band and subband techniques have been implemented on the Motorola DSP56300 digital signal processor. Objective and subjective methods have been applied to evaluate the performance of the proposed techniques. The modeling of room transfer functions is discussed and the experiments on a pipe and two rooms are conducted for the proposed techniques. The most suitable model for the audio equalization is the all-pole modeling. In addition, two common acoustic pole techniques, least squares technique and averaging technique, have been presented for the proposed full-band and subband techniques. The least squares technique requires much higher computational power than the averaging technique.