Title :
Decomposing Statistical Periodicities
Author :
Arora, Raman ; Sethares, William
Author_Institution :
Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706-1691 USA. ramanarora@wisc.edu
Abstract :
Nonstationary random symbolic sequences are investigated for cyclostationarity and decomposition into constituent cyclostationary sources. Since the symbolic sources do not admit an algebraic structure, a composition of distributions of cyclostationary sources is studied that models the erosion in symbolic sequences, for instance, mutations in gene sequences. This composition gives a rich mathematical structure on the collection of cyclostationary sources and a uniqueness theorem for decomposition of pq-statistically periodic symbolic sources into cyclostationary sources with periods p and q, when p and q are coprime.
Keywords :
Genetic mutations; Periodic structures; Cyclostationarity; genomic signal processing; symbolic periodicity; symbolic time series;
Conference_Titel :
Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on
Conference_Location :
Madison, WI, USA
Print_ISBN :
978-1-4244-1198-6
Electronic_ISBN :
978-1-4244-1198-6
DOI :
10.1109/SSP.2007.4301246