A bias-compensated normalized least mean absolute deviation (NLMAD) algorithm is developed for system identification under impulsive output measurement noise and noisy input environment, which takes the advantage of the NLMAD to resist impulsive output noises. Considering biased estimation caused by the ...
5) Normalized least mean squares 归一化最小均方误差算法6) two dimensional normalized least mean squared error(TDNLMS) 二维归一化最小均方误差补充资料:均方根误差 分子式:CAS号:性质:又称均方根误差,当对某一量进行甚多次的测量时,取这一测量列真误差的均方根差(真误差平方的算术平均值再开方),称...
4) normalized bias mean value 归一化误差均值5) normalized signal 标准化信号;归一化信号6) signal normalization process 信号归一化处理补充资料:力学量的可能值和期待值 在量子力学中,力学量F用作用于波函数上的算符弲表示。在数学上,对于一个算符,满足 的函数 ui(r)称为弲的本征函数,式中Fi是与r无...
Simulation results confirm that the proposed method significantly outperforms other comparative works regarding normalized mean-squared deviation (NMSD) in the steady state. Keywords: bias compensation; convex combination; impulse noise (IN); noisy inputs; process innovation; variable mixed-norm adaptive ...