Title :
Rhythmic Noisy Signals and Their Models
Author :
Pryimak, M. ; Korynkivska, O. ; Proshyn, S.
Author_Institution :
Ternopil State Tech. Univ., Ternopil
Abstract :
This paper presents examples of stochastically periodical rhythmic noises signals and gives the review of main classes of random processes, with can be used with perpetual argument, as well as their cases - Hauss and Puasson periodical noises. Classification of discrete periodical noises has been performed. The new class - class of periodic processed with investigation by analytical and a statistical method has been emphasized.
Keywords :
noise; random processes; signal classification; statistical analysis; Hauss periodical noise; Puasson periodical noise; discrete periodical noise; noise classification; random process; statistical method; stochastically periodical rhythmic noisy signals; Character generation; Conferences; Data acquisition; Distributed information systems; Feedback; Galois fields; Information analysis; Information systems; Information technology; Symmetric matrices; Discrete Periodical Noise; Model; Periodical Noise; Variable Period;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
Conference_Location :
Dortmund
Print_ISBN :
978-1-4244-1347-8
Electronic_ISBN :
978-1-4244-1348-5
DOI :
10.1109/IDAACS.2007.4488429
