عنوان به زبان ديگر :
Variable, Step-Size, Block Normalized, Least Mean, Square Adaptive Filter: A Unified Framework
چكيده لاتين :
Employing a recently introduced framework, within which a large number of classical and modern adaptive filter algorithms can be viewed as special cases, a generic, variable step-size adaptive filter has been presented. Variable Step-Size (VSS) Normalized Least Mean Square (VSSNLMS) and VSS Affine Projection Algorithms (VSSAPA) are particular examples of adaptive algorithms covered by this generic variable step-size adaptive filter. In this paper, the new VSS Block Normalized Least Mean Square (VSSBNLMS) adaptive filter algorithm is introduced, based on the generic VSS adaptive filter. The proposed algorithm shows the higher convergence rate and lower steady-state mean square error compared to the ordinary BNLMS algorithm.
