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Superlattice/superladder computational organization for linear prediction and optimal FIR filtering., , and . IEEE Trans. Signal Process., 39 (10): 2199-2215 (1991)A parallelizable recursive least squares algorithm for adaptive filtering, with very good tracking properties., , , and . Int. J. Comput. Math., 67 (3-4): 275-292 (1998)A New Multichannel Recursive Least Squares Algorithm for Very Robust and Efficient Adaptive Filtering., , and . J. Algorithms, 37 (2): 283-308 (2000)2D fragmented object reconstruction with the use of the chromatic and thematic content., , and . Pattern Anal. Appl., 15 (2): 133-146 (2012)Error propagation and methods of error correction in LS FIR filtering and l-step ahead linear prediction., , and . IEEE Trans. Signal Process., 42 (5): 1097-1108 (1994)Error propagation and numerical recovery for a class of parametric DSP algorithms., , , and . ICASSP, page 1349-1352. IEEE, (1990)Numerical behaviour of Toeplitz solutions., , and . ICASSP, page 2097-2100. IEEE, (1989)A very robust, fast, parallelizable adaptive least squares algorithm with excellent tracking abilities., , , and . ICASSP (3), page 385-388. IEEE Computer Society, (1994)Efficient recursive in order least squares FIR filtering and prediction., , , and . IEEE Trans. Acoust. Speech Signal Process., 33 (5): 1175-1187 (1985)A new look on the parallel implementation of the Shur algorithm for the solution of Toeplitz equations., , , and . ICASSP, page 1858-1861. IEEE, (1985)