Equalization of time-varying channels using the quantized least mean-fourth algorithm (original) (raw)
2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)
Adaptive equalization is undoubtedly one of the cornerstones of digital communication as it allows for fast and reliable data trans mission over practical channels that are non-ideal and that are plagued with serious problems such as signal dispersion and non Gaussian interferences. In such cases, the performance of the well-known least-mean square (LMS) algorithm or that of any of its variants remains sub-optimal at best. As a remedy to this, the least-mean fourth (LMF) algorithm was later proposed but its high computational load was found to be a constraining factor in its practical implementation, particularly for real-time applications.
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