Abstract
We propose a new scheme of subband adaptive digital filter(ADF) which allows massive parallel processing. We discuss the power spectral density of the down-sampled processes and propose a new cost function which is suitable for subband ADF. The subband scheme of adaptive system identification using the proposed cost function is considered. It is shown that we can carry out precise system identification based on the frequency domain sampling theorem, in which the proposed cost function is applied to the subband ADF using polyphase filter banks. The cost function is defined in each bin; as a result, it enables the perfect parallel processing of ADFs.<>