Adaptive subband techniques have been developed to reduce complexity and sl
ow convergence problems of the traditional fullband high-order adaptive fil
ters, Some of the disadvantages often encountered in most of the proposed a
rchitectures are the effect of aliasing associated with the multirate struc
ture, which is a source of error in the modeling of the unknown system, and
the delay introduced in the signal path. In this paper, we present a new d
elayless maximally decimated structure where the optimal subband filters ar
e related to the wideband system in a closed form. They make use of a speci
al DFT analysis filterbank where the polyphase components of the prototype
filter represent fractional delays so that there is no need for adaptive cr
oss-filters, and the unknown system can modeled perfectly in a closed-loop
scheme. We interpret the proposed structure as a special case of a block ad
aptive filter with low er computational complexity than the conventional fu
llband LMS algorithm. Some computer simulations are presented in order to v
erify the good features of the proposed structure.