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Computationally highly efficient mixture of adaptive filters

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Fig. 1 Mixture combination of parallel filters
Fig. 2 Time-accumulated error performance of proposed algorithms compared with other algorithms over stationary data having 0 dB SNR and input vector eigenvalue spread of 1
Fig. 5 Time-accumulated error performance of proposed algorithms compared with NLMS algorithms over Pumadyn and Elevator datasets.
Fig. 6 Number of updates that each algorithm requires over 8000 instance stationary data

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