A human auditory tuning curves matched wavelet function.
This paper proposes a new quantitative approach to the problem of matching a wavelet function to a human auditory tuning curves. The auditory filter shapes were derived from the psychophysical measurements in normal-hearing listeners using the variant of the notched-noise method for brief signals in forward and simultaneous masking. These filters were used as templates for the designing a wavelet function that has the maximum matching to a tuning curve. The scaling function was calculated from the matched wavelet function and by using these functions, low pass and high pass filters were derived for the implementation of a filter bank. Therefore, new wavelet families were derived.
Abolhassani
Mohammad D
MD
Medical Physics and Biomedical Engineering Department, Biomedical Group of Research Centre For Science & Technology in Medicine, Tehran University of Medical Sciences, Iran. abolhasm@sina.turns.ac.ir
Salimpour
Yousef
Y
D000162:Acoustics; D000465:Algorithms; D001299:Audiometry / Q000379:methods; D001307:Auditory Perception; D003051:Cochlea / Q000473:pathology; D007758:Ear, Inner / Q000473:pathology; D006309:Hearing / Q000502:physiology*; D006801:Humans; D015233:Models, Statistical; D009622:Noise; D017084:Otoacoustic Emissions, Spontaneous; D010470:Perceptual Masking; D012815:Signal Processing, Computer-Assisted