A new approach to introducing a forgetting factor into the normalized least mean squares algorithm
A new approach was developed for introducing the forgetting factor into the theoretical framework of the NLMS algorithm. The resultant forgetting factor NLMS (FFNLMS) algorithm can be performed at the expense of only 3N multiplications per sample. The FFNLMS algorithm is H?-optimal H ? - optimal .
forgetting factor nlms algorithm adaptive filter rls algorithm h? h ? filter h? h ? h? h ? h ? system identification