@article{(Open Science Index):https://publications.waset.org/pdf/6020,
	  title     = {An Incomplete Factorization Preconditioner for LMS Adaptive Filter},
	  author    = {Shazia Javed and  Noor Atinah Ahmad},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper an efficient incomplete factorization preconditioner is proposed for the Least Mean Squares (LMS) adaptive filter. The proposed preconditioner is approximated from a priori knowledge of the factors of input correlation matrix with an incomplete strategy, motivated by the sparsity patter of the upper triangular factor in the QRD-RLS algorithm. The convergence properties of IPLMS algorithm are comparable with those of transform domain LMS(TDLMS) algorithm. Simulation results show efficiency and robustness of the proposed algorithm with reduced computational complexity.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {6},
	  number    = {12},
	  year      = {2012},
	  pages     = {1688 - 1693},
	  ee        = {https://publications.waset.org/pdf/6020},
	  url   	= {https://publications.waset.org/vol/72},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 72, 2012},
	}