From time series to linear system-part I. Finite dimensional linear time invariant systems
Automatica (Journal of IFAC)
Statistical spectral analysis: a nonprobabilistic theory
Statistical spectral analysis: a nonprobabilistic theory
From time series to linear system-Part II. Exact modelling
Automatica (Journal of IFAC)
System identification: theory for the user
System identification: theory for the user
From time series to linear system—Part III. Approximate modelling
Automatica (Journal of IFAC)
Higher-order cyclostationarity properties of sampled time-series
Signal Processing
Time series: data analysis and theory
Time series: data analysis and theory
Cyclostationarity: half a century of research
Signal Processing
Bibliography on cyclostationarity
Signal Processing
Foundations of the functional approach for signal analysis
Signal Processing - Special section: Multimodal human-computer interfaces
Sampling and ergodic theorems for weakly almost periodic signals
IEEE Transactions on Information Theory
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In 1948 Wold introduced an isometric isomorphism between a Hilbert (linear) space formed from the weighted shifts of a numerical sequence and a suitable Hilbert space of values of a second-order stochastic sequence. Motivated by a recent resurrection of the idea in the context of cyclostationary sequences and processes, we present the details of the Wold isomorphism between cyclostationary stochastic sequences and cyclostationary numerical sequences. We show how Hilbert-space representations of cyclostationary sequences are interpreted in the case of numerical CS sequences.