Author : Pratik Ghotkar, Mrinal Bachute and R D Kharadkarkar

At the end of communication system information signal may be introduced with some noise along with the information signal. Noise may be additive or convoluted .Adaptive filter finds better solution to deal this problem. Use of Adaptive filter may filter out or suppressed noise from noisy signal getting the clean speech .This process is known as the adaptive noise cancellation. Subband adaptive filtering (SAF) finds better performance over a fullband adaptive filtering which employs multirate filter bank for signal decomposition and reconstruction. This technique allows for fast convergence and reduced computational complexity however insertion of filter bank introduced artifacts such as: aliasing, amplitude and phase distortion. This article deals with the review of various advancement in the adaptive algorithms made. Recently many methods have been proposed to reduce the effect of one or more artifacts. This article deals with the review of various advancement in this particular area of digital signal processing. Comparison tables of the main subband adaptive filtering are shown .The more effective comparison parameter of t these methods is Mean square Error (MSE) Plot.

Keywords: Adaptive noise cancellation, Subband adaptive filtering (SAF), Mean square Error (MSE).

Article published in International Journal of Current Engineering and Technology, Vol.4, No.5 (Oct-2014)