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Improving convergence of distributed LMS estimation by enabling propagation of good estimates through bad nodes., and . ACSSC, page 671-675. IEEE, (2015)Reduced computational complexity suboptimal gain allocation for proportionate-type NLMS algorithms with colored inputs., and . CISS, page 1-6. IEEE, (2011)Complex colored water-filling algorithm for gain allocation in proportionate adaptive filtering., and . ACSCC, page 1802-1806. IEEE, (2012)Gain allocation in proportionate-type NLMS algorithms for fast decay of output error at all times., and . ICASSP, page 3117-3120. IEEE, (2009)Distributed LMS estimation of scaled and delayed impulse responses., and . ICASSP, page 4154-4158. IEEE, (2016)Transform domain CPtNLMS algorithms., and . CISS, page 1-4. IEEE, (2013)Proportional-type NLMS algorithm with gain allocation providing maximum one-step conditional PDF for true weights., and . CISS, page 61-66. IEEE, (2009)Distributed linear prediction of a single source., and . ACSSC, page 1395-1399. IEEE, (2016)Performance of proportionate-type NLMS algorithm with gain allocation proportional to the mean square weight deviation., and . ACSSC, page 886-890. IEEE, (2014)Proportionate-Type Normalized Least Mean Square Algorithms With Gain Allocation Motivated by Mean-Square-Error Minimization for White Input., and . IEEE Trans. Signal Process., 59 (5): 2410-2415 (2011)