Title :
Robust Wiener filtering for multiple inputs with channel distortion (Corresp.)
Author :
Chen, Chengtie ; Kassam, Saleem A.
fDate :
7/1/1984 12:00:00 AM
Abstract :
Robust Wiener filtering has previously been considered for the single-input (scalar) case where there is no channel distortion and where the signal to be estimated is the source signal itself. Here, these results are extended to the multiple-input (vector) case where linear channel distortion is allowed and the signal to be estimated is a linear-filtered version of the source signal. The results are obtained from those for the single-input ease by modifying the constraints on signal and noise characteristics. Such a modification is motivated by examining the expression of the mean-squared error for the optimum filter.
Keywords :
Multiaccess communication; Robustness; Wiener filtering; Arithmetic; Encyclopedias; Entropy; Fires; Gaussian processes; History; Information rates; Mathematics; Robustness; Wiener filter;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1984.1056926