Alias free sub-band adaptive filtering

In order to overcome the limitations of the fullband and the previously proposed subband structures a new subband structure is proposed. This newly proposed subband adaptive filtering (SAF) structure will converge faster at a lower computational cost. The interband aliasing is introduced by the downsampling process, degrades the performance. So the interband aliasing is extracted and removed from the subband signal with the help of bandwidth increased analysis filter. Here, an almost alias free SAF structure with critical sampling is proposed to have faster convergence and lower computational complexity. The software used in this paper is mat lab for the simulation purpose with a signal processing tool box.