SUBBAND ADAPTIVE FILTER FOR NOISE CANCELLATION

Sub-band filtering is employed in various system identification applications. It reduces the computational complexity and adaptation time. It also improves in convergence rate with order filter. The paper focuses on sub-band filtering for noise cancellation. A Simulink model for Full-band and 2, 4, 8 sub-bands were created and simulated. The noise is applying as a random number to the desired as well as input of the LMS filter. The performance of the full-band sub-band noise canceller is measured in terms of error signal. The sub-band structure presents superior convergence performance for input signals when compared to the conventional direct form LMS structure, with a very small increase in number of operations. The advantages of using the sub-band structure are shown through the acoustic echo canceller, noise canceller and channel equalizer applications.