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Journal of Genetic Engineering and Biotechnology Research(JGEBR)

ISSN: 2690-912X | DOI: 10.33140/JGEBR

Impact Factor: 1.2

Explanation of Frequency Distinguishing in Human Ear (Using Computer Model)

Abstract

Michael Ostrowski

The inspiration for this model ware possibilities of the human ear to distinguish the frequency of sounds and a diffraction grating. Detection takes place after max. 15 length of the wave (arbitrary choice). The range of frequencies to detect for tests – 800-3200 Hz: detection every 5 Hz in the range 800-1600 Hz and 10 Hz in the range 1600-3200 Hz (arbitrary choice). It can explain the residual hearing effect (missing tone f is heard when harmonic tones 2f, 3f and 4f are played). The algorithm can be used as an alternative for FFT. Model uses only memory for delay line end for results, and adding operation, so it should be fast and cheep, and can work on-line in real-time. Testing program was written in Perl

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