Conventional subband adaptive digital filters using filter banks have shown degradation in
their performance because of the nonideal nature of analysis filters. For this problem, we …

Nonuniform filterbanks have recently been proposed for subband adaptive filters (SAFs).
However, nonuniform SAFs have not yet been given a thorough performance analysis. This …

Subband adaptive filters (SAFs) have gained widespread use in key applications such as
echo cancellation, system identification, and equalization. SAFs are normally constrained to …

Conventional subband adaptive digital filters (ADFs) using filter banks have shown
degradation in its performance because of the non-ideal nature of analysis filters. For this …

Subband-based system identification is considered. The analysis in this paper gives
geometric insights into the source of error in subband-based system identification. In …

Non-uniform subband adaptive filters have been suggested for system modeling/echo
cancellation applications due to their increased flexibility. This research derives spectral …

Minimum mean square error estimators have been developed for non-uniform subband
adaptive filters (SAF) in system modeling configurations. The next step towards practical …

This paper considers the problem of prototype filter design for subband adaptive filtering
applied to system identification. The minimum mean-squared estimation error (MMSE) …

This paper shows that the lowest mean-squared error achievable in a subband adaptive
filter depends on the error in a least-squares estimation problem involving the impulse …

Conventional subband adaptive digital filters (ADFs) using filter banks have shown
performance degradation because of the non-ideal nature of the analysis filters. For this …