Analysis of Subband Adaptive Filters

Convergence and Complexity Analysis of Delayless Subband Adaptive Filters

Subband adaptive filters have been proposed to circumvent the drawbacks of slow convergence and high computational complexity associated with time domain adaptive filters. Subband processing introduces transmission delays and signal degradations due to aliasing effects. In order to overcome the transmission delays, delayless adaptive filtering has been introduced where the coefficient adaptatio...

On the Optimality of Subband Adaptive Filters

In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive filter (SAF) system. The structure of this optimum solution deviates from the standard SAF approach and presents its best possible solution only as an approximation. Besides this new insight into SAF error sources, the discussed analysis allows to calculate the optimum subband responses and the ...

Robust microphone arrays using subband adaptive filters

A new adaptive beamformer which combines the idea of subband processing and the generalized sidelobe canceller structure is presented. The proposed subband beamformer has a blocking matrix that uses coefficient-constrained subband adaptive filters to limit target cancellation within an allowable range of direction of arrival. Simulations compare the fullband adaptive beamformer and the subband ...

An oversampled subband adaptive filter without cross adaptive filters

Recently a new real-valued oversampled filter ba.nk has be:cm proposed which reduces the “inband” alias. The filterba.nk consists of at least three rhannels whirh are subsa.mpled by different subsampling ratios. Tn this paper we investigate into the applicability of t.his filterbank for adaptive subband filtering a.nd compa.rc the setup with existing subband and fullba.nd techniques. input sign...

Steady-state performance limitations of subband adaptive filters