Applications of Data-Selective Adaptive Filters

In this article we discuss the capabilities and importance of data selection mechanisms in real-world tasks. We show how data-selective adaptive filters can be explored in order to improve the performance of communication systems and acoustic echo cancellers. For communications systems we propose a dataselective algorithm for semi-blind equalization in OFDM-based systems employing a QPSK digital modulation scheme that increases in 18% the system throughput, provided a minimum signalto- noise ratio is guaranteed. For the acoustic echo cancellation we propose data-selective algorithms that operate in the frequency domain and allow a significant reduction of the computational burden. The simulation results show that after convergence, these algorithms update only 10% of the filter coefficients.