___

• From the above tables, we can observe that, without noticeable performance loss regarding BER, the
• overlap FDE gives reduced computational complexity as compared to TDE. Thus, the primary purpose of
• complexity reduction is achieved without much deterioration in BER performance. 8. Conclusion
• Very few works exist in the literature on the equalization of communication systems based on multirate filter
• banks for ADSL channels. In this paper, we have compared the performance of TDE and OFDE techniques in
• terms of BER and computational complexity. Equalizer weights are optimized with the help of ZF and MMSE.
• The performance of both systems is analyzed in the presence of AWGN and crosstalk. From the simulation
• results we can deduce that the overall computational complexity of the DWMT based system with OFDE is
• lower than that of the DWMT based system with TDE. In this way, we have gained the complexity reduction
• advantage by utilizing OFDE for the DWMT based system. The performance evaluation in terms of BER did
• not give significant enhancement for OFDE as compared to TDE techniques. OFDE seems a better option as
• compared to TDE in terms of complexity without loss in BER performance. As a future work, the authors are
• interested in evaluating the performance of an equalizer in the presence of impulse noise.
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