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Proceedings Paper

Nonlinear filtration of the spoken language signals
Author(s): Lilia V. Kolchenko; Rustem B. Sinitsyn
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Paper Abstract

Work is devoted to important topic of acoustic signals processing in a pilot's cabin of aircraft in which the high noise level is observed. We have investigated heuristic approach of acoustic signal nonlinear filtration. First of all the kernel estimate of the cumulative distribution function was done. The signal was transformed using the estimate of the cumulative distribution function as a functional transform. Then measurements of acoustic signals' parameters and an estimation of their spectral density were done. The estimation was measured by means of fast Fourier transform procedure with use of window functions. At the second stage the new procedure of the adaptive filtration based on the Wiener frequency approach has been offered. The estimations of spectra received at the first stage have been thus used. Results are confirmed by experimental processing of spoken language signals.

Paper Details

Date Published: 5 August 2009
PDF: 7 pages
Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75021K (5 August 2009); doi: 10.1117/12.838252
Show Author Affiliations
Lilia V. Kolchenko, National Aviation Univ. (Ukraine)
Rustem B. Sinitsyn, National Aviation Univ. (Ukraine)


Published in SPIE Proceedings Vol. 7502:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009
Ryszard S. Romaniuk; Krzysztof S. Kulpa, Editor(s)

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