MASC is a data compression algorithm that combines the application of multi-pulse excited linear predictive coding and sub-band coding. This paper first examines the perceptual advantage between the number of excitation pulses allocated versus the number of sub-bands required. An adaptive perceptual error weighting filter is also investigated to psychoacoustically motivate the pulse locations. Based upon the F-weighting function, it adapts according to the audio signals in each frame, thus coding information which matches the human hearing characteristic.
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