Convergence property of tri-quantized-x NLMS algorithm
The signed regressor algorithm, a variation of the least mean square (LMS) algorithm. is characterized by the estimation way of using the clipped reference signals, namely, its sign (+/-). This clipping, equivalent to quantizing the reference signal to +/-1, only increases the estimation error by about 2 dB. This paper proposes to increase the number of the quantization steps to three. namely. +/-1 and 0. and shows that the 'tri-quantized-x' normalized least mean square (NLMS) algorithm with three quantization steps improves the convergence property.
convergence property tri-quantized-x nlms algorithm signed regressor algorithm reference signal iir filter expression