Convergence analysis of an oversampled subband adaptive filtering structure with local errors

Subband adaptive filtering has been recently studied by a large number of researchers. The main alternatives are structures with critical sampling and noncritical sampling, and structures that use local errors and global error in the adaptive algorithm. In this paper a theoretical convergence analysis for the case of an oversampled subband adaptive altering structure with local errors is presented. The convergence rate and misadjustment of the algorithm can be estimated from the results of this analysis. Computer simulations are presented to illustrate the convergence behavior of the subband adaptive algorithm and to verify the theoretical results