W(n) represents the weight vector at n, W(n+1) represent weight vector at n+1. U represents the step size which control the convergence speed. The value for the gradient vector is calculated through covariance matrix R and cross-correlation r.

add_freqdomain_reponse.m
add_training.m
adpt_mod_para.m
bin_state.m
BLAST_decode.m
ce_txdiv.mat
adaptive.m
adaptive_power.m
adaptive_power1.m

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