A robust frequency-domain adaptive filter with colored input signal

A frequency-domain adaptive filter (FDAF) with a parallel structure and reduced computational complexity for precise adaptive system identification has been proposed. However, the presence of additive noise degrades the performance of the FDAF, and the degradation is conspicuous in the worse case input signal. We propose a new FDAF which improves the performance of the conventional FDAF for system identification in the presence of additive noise and colored input signal.