Matching pursuits based on perceptual distortion minimization for sinusoidal audio modelling

In this paper, we propose an improved sinusoidal audio modeling method for perceptual matching pursuits driven by a perceptual distortion measure. A linear model derived from the effective signal processing in the ear is used for computing the perceptual distortion measure. This distortion measure allows us to select the most perceptually meaningful sinusoid at each iteration of the pursuit. Furthermore, the distortion measure can be used to define a psychoacoustic stopping criterion for the matching pursuit algorithm. The proposed sinusoidal modelingmethod is designed to be used in sinusoidal audio coding. Ourmethod provides significant advantages regarding previous works because it achieves a better separation between tones and noise, as can be seen in results.