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Optimal Channel Equalization For Filterbank Transceivers In Presence Of White Noise, Ehab Farouk Badran
Optimal Channel Equalization For Filterbank Transceivers In Presence Of White Noise, Ehab Farouk Badran
LSU Doctoral Dissertations
Filterbank transceivers are widely employed in data communication networks to cope with inter-symbol-interference (ISI) through the use of redundancies. This dissertation studies the design of the optimal channel equalizer for both time-invariant and time-varying channels, and wide-sense stationary (WSS) and possible non-stationary white noise processes. Channel equalization is investigated via the filterbank transceivers approach. All perfect reconstruction (PR) or zero-forcing (ZF) receiver filterbanks are parameterized in an affine form, which eliminate completely the ISI. The optimal channel equalizer is designed through minimization of the mean-squared-error (MSE) between the detected signals and the transmitted signals. Our main results show that the …