摘要:Abstract: Adaptive filtering algorithms holds wide application in the active noise cancellation. On applying the adaptive algorithm, the main factor of concern is to generate such filter coefficients that minimize the error between actual signal and predicted signal so that noise is cancelled in an effective manner. Various adaptive filtering algorithms applied on various filtering models are available in literature and research is still on to make this active noise cancellation process more and more practicalfor real world applications. This paper presents one such modelin which active noise cancellation is achieved through the use of biquad filter followed by band pass filter considering the effect of binary symmetric channel(BSC)and additive white Gaussian noise(AWGN) channel on signal transmission. The output is analyzed byapplying the discrete cosine transform(DCT), fast Fourier transform (FFT) and analytic signal transform to the signal recovered after noise cancellation. The simulation results prove the effectiveness of the proposed model in reducing the channel distortion effect on the transmitted signal in the presence of added noise.The signal is recovered using normalized least mean square (NLMS) algorithm.