DocumentCode :
718757
Title :
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
Link To Document :
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