Linear filtration methods for statistical analysis of periodically correlated random processes. I: Coherent and component methods and their generalization. II: Harmonic series representation
DOI10.1016/J.SIGPRO.2011.04.031zbMath1295.94003OpenAlexW2020622020MaRDI QIDQ634869
Publication date: 17 August 2011
Published in: Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sigpro.2011.09.030
estimatesHilbert transformcyclostationary processesharmonic series representationlinear filtration methodsperiodically correlated random processes
Filtering in stochastic control theory (93E11) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
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Cites Work
- Representation of strongly harmonizable periodically correlated processes and their covariances
- Least squares method for statistical analysis of polyrhythmics
- Nonparametric time series analysis for periodically correlated processes
- Characterization of cyclostationary random signal processes
- Periodically Correlated Random Sequences
- The distribution of the sequential decoding computation time
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