A multirate filter bank model is considered for reconstruction of periodically sampled signals. In contrast to many previous methods which considered perfect reconstruction of deterministic signals, this paper's approach uses a known discrete-time cyclostationary signal model to find a minimum mean-squared error reconstruction solution. A primary advantage of this approach is that it does not require a minimum sampling density, allowing optimal solutions to be determined in cases of

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... g. This allows for consideration of a wide range of generalized sampling problems under a single framework. An example with simulation results is presented.