Pipelining extended givens rotation RLS adaptive filters
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[1] T. Kailath,et al. A state-space approach to adaptive RLS filtering , 1994, IEEE Signal Processing Magazine.
[2] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[3] Keshab K. Parhi,et al. Pipeline interleaving and parallelism in recursive digital filters. I. Pipelining using scattered look-ahead and decomposition , 1989, IEEE Trans. Acoust. Speech Signal Process..
[4] Keshab K. Parhi,et al. Hybrid annihilation transformation (HAT) for pipelining QRD-based least-square adaptive filters , 2001 .
[5] G. J. Borse,et al. Numerical Methods with MATLAB: A Resource for Scientists and Engineers , 1996 .
[6] H. T. Kung,et al. Systolic Arrays for (VLSI). , 1978 .
[7] Keshab K. Parhi,et al. Pipeline interleaving and parallelism in recursive digital filters. II. Pipelined incremental block filtering , 1989, IEEE Trans. Acoust. Speech Signal Process..
[8] Fuyun Ling. Givens rotation based least squares lattice and related algorithms , 1991, IEEE Trans. Signal Process..
[9] K. J. Ray Liu,et al. A unified square-root-free approach for QRD-based recursive-least-squares estimation , 1993, IEEE Trans. Signal Process..
[10] W. E. Gentleman. Least Squares Computations by Givens Transformations Without Square Roots , 1973 .
[11] Keshab K. Parhi,et al. Pipelined RLS adaptive filtering using scaled tangent rotations (STAR) , 1996, IEEE Trans. Signal Process..
[12] Edward A. Lee,et al. Least squares computation at arbitrarily high speeds , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[13] Keshab K. Parhi,et al. Annihilation-reordering look-ahead pipelined CORDIC-based RLS adaptive filters and their application to adaptive beamforming , 2000, IEEE Trans. Signal Process..