Discrete wavelet transform domain adaptive decision feedback equalization

In this paper we apply discrete wavelet transform processing to the decision feedback equalization adaptation problem. In particular, the discrete wavelet transform decision feedback equalizer (DFE) performance and complexity are compared to those of the least mean squares (LMS) and recursive least squares (RLS) algorithms. We illustrate, using a simulation example, that the wavelet transform DFE may offer better performance and more robustness against narrow-band interferences as compared to the LMS DFE at a lower complexity than the standard RLS DFE.