The numerical modeling of a posteriori algorithms for the processing of a random wave impulse sequences

Author

Voskoboinikova, Gyulnara ; Khairetdinov, Marat

Author_Institution

Inst. of Comput. Math. & Math., Novosibirsk State Tech. Univ., Novosibirsk, Russia

fYear

2015

fDate

21-23 May 2015

Firstpage

1

Lastpage

6

Abstract

A new approach to solving the problem of signal processing is proposed and investigated. It is based on the detection and separation of waveforms of a quasiperiodic random impulse sequences. The solution is obtained by a unifying process of discrete optimization. The efficiency of this approach is illustrated by some numerical experiments.

Keywords

maximum likelihood estimation; numerical analysis; random sequences; signal detection; source separation; a posteriori algorithms; discrete optimization process; numerical modeling; quasiperiodic random wave impulse sequence processing; signal processing; waveform detection; waveform separation; Accuracy; Algorithm design and analysis; Estimation; Fractals; Geophysical measurements; Noise; Optimization; a posteriori algorithms; detection; discrete optimization; fractal representation; mean-square error; numerical experiments; quasiperiodic random impulse sequences; separation; signal/noise ratio; waveforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Communications (SIBCON), 2015 International Siberian Conference on

Conference_Location

Omsk

Print_ISBN

978-1-4799-7102-2

Type

conf

DOI

10.1109/SIBCON.2015.7147258

Filename

7147258