SANC: Stochastic approach for noise cancellation in GSM signals

The dependency of GSM network is quite high in maximum applications of telecommunication standards. However, the presence of noise within the GSM signal highly deteriorates the quality of the signal. At present, there are various noise reduction techniques but study on noise cancellation techniques over GSM signals are quite few to find. The existing usage of Weiner Filter for noise elimination is not found to be sufficient enough. Therefore, this manuscript presents a novel technique called as SANC i.e. Stochastic Approach for Noise Cancellation. The approach makes use of Catalecticant matrix to store the signal corrupted with noise. The paper also implements a technique that performs segmentation for noisy and signal data. Finally, using weight-function along with stochastic based approach using time series, the proposed study significantly cancels out noise from GSM signal much better in comparison to existing system.