Title :
Algorithms for processing acoustic signals in telecommunication systems by local parametric methods of analysis
Author :
Kropotov, Y.A. ; Ermolaev, V.A.
Author_Institution :
Murom Inst. (branch), Vladimir State Univ., Vladimir, Russia
Abstract :
The article describes the problem of recovery generally smooth function from discrete data. The algorithms of data smoothing were constructed providing a smooth pair of distributions built on the system of linearly independent functions, polynomials, defined at the conjugation of the analysis intervals. The results indicate the possibility of their use for the analysis of multiextremal functions which include the intensity of the acoustic signals functioning technical systems. Work is done according to implementation terms of the state task of Russian Federation No2.1228.2014K in scientific research.
Keywords :
acoustic signal processing; polynomial approximation; smoothing methods; acoustic signal processing; data smoothing; linearly independent function; local parametric method; multiextremal functions analysis; telecommunication system; Acoustics; Algorithm design and analysis; Linear programming; Minimization; Noise; Polynomials; Smoothing methods; data smoothing; equality constraints; least squares problem; linear regression; local approximation; technical systems; the processing of acoustic signals;
Conference_Titel :
Control and Communications (SIBCON), 2015 International Siberian Conference on
Conference_Location :
Omsk
Print_ISBN :
978-1-4799-7102-2
DOI :
10.1109/SIBCON.2015.7147109