Title :
Weighted exact least squares lattice algorithm for adaptive noise cancellation
Author :
Madhavan, P.G. ; de Bruin, H.
Author_Institution :
Dept. of Electr. Eng., Purdue Univ., Indianapolis, IN, USA
Abstract :
A new weighted exact least squares lattice algorithm for adaptive noise cancellation is developed. In addition to the forgetting factor, an independent weighting factor is included in the performance criterion to be minimized. Such a weighting scheme can be used to improve noise cancellation performance. The authors explore this by comparing the features of the weighted and nonweighted algorithms. Using simulations, they demonstrate the superior performance of the weighted exact least squares lattice algorithm.
Keywords :
interference suppression; least squares approximations; signal processing; adaptive filters; adaptive noise cancellation; nonweighted algorithms; performance; signal processing; simulations; weighted exact least squares lattice algorithm; Adaptation models; Indexes; Lattices; Noise cancellation; Robustness; Signal processing algorithms;
Journal_Title :
Electrical and Computer Engineering, Canadian Journal of
DOI :
10.1109/CJECE.1992.6593904
