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A novel approach is presented for the detection and localization of changing periodicities in symbolic sequences. Various symbolic sequences like DNA can be modelled as stochastic processes that exhibit time-varying cyclostation- arity. The coding regions of the DNA, for instance, exhibit statistical periodicity with period three. The complexity-regularized maximum-likelihood estimates are developed...
A novel approach is presented for the detection of periodicities in DNA sequences. A DNA sequence can be modelled as a nonstationary stochastic process that exhibits various statistical periodicities over different regions. The coding part of the DNA, for instance, exhibits statistical periodicity with period three. Such regions in DNA are modelled as generated from a collection of information sources...
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