PROJECT TITLE :

Transient and steady-state analyses of the improved multiband-structured subband adaptive filter algorithm

ABSTRACT:

The authors previously proposed an improved multiband-structured subband adaptive filter (IMSAF) algorithm. During this contribution, they initial gift two delayless structures of the IMSAF algorithm to get rid of delay in the signal path. Then, they study the transient and steady-state behaviour of the IMSAF algorithms based mostly on the energy conservation arguments and paraunitary condition imposed on the analysis and synthesis filter banks. The analysis does not need a model for the input signal. Simulation results show that the proposed delayless IMSAF algorithm has a faster convergence rate than the ancient delayless subband adaptive filtering algorithms. Theoretical analysis of the IMSAF algorithm is in good agreement with computer simulation results.