Manikandan S.

Our aim is to achieve noise reduction for signals transmitted through the wireless medium. In such a communication, all the noise is added in the channel. The noise is highly random .Here there is no source for obtaining a correlated noise at the receiving end. Only the received signal can tell the story of the noise added to it. Hence somehow, only if it is possible extract the noise from the received signal, through some means, then the Grazing estimation of signal techniques to enhance the signal to noise ratio of the received signal. This new method is to obtain a correlated noise from the received signal itself. This paper is very helpful for obtaining effective noise reduction and echo cancellation. By using signal method we can reduce the unwanted signal from the received signal and protect the signal corrupt problem.As compare to other algorithm method this is very powerful method of noise reduction. Finally to compare Matlab6.5 and TMS320C5416 processor simulation results .In real-time application the DSP processor simulation is more accurate as compare to Matlab simulation result. But implementation is complex as compare to matlab. Index-Terms: Active noise control, Grazing Estimation of signal, Pseudo code, Matlab 6.5, TMS320C5416 Processor.