In this paper, we present an efficient noise control algorithm based on the
delayless subband adaptive filter. The algorithm reduces the computational
complexity of the delayless subband filter by decomposing the secondary pa
th response into a set of subband functions. In this new algorithm, the fil
tered reference signal is generated for each subband by using a short impul
se response filter that models the secondary path transfer function in a su
bband-decomposed form. Computational efficiency of the presented method ori
ginates from the fact that the filtering process occurs only in one subband
for each reference input sample. Furthermore, computational efficiency is
enhanced when the presented algorithm is combined with an online identifica
tion of the secondary path transfer function. We also propose a frequency-d
omain implementation of the presented algorithm. In this implementation, it
is shown that the computational complexity is further reduced by employing
the block-processing approach.