De-noising/noise cancellation mechanism for sampled speech/voice signal

In any communication system noise always had been a major area of concern. Noise signals affect the transmitted signals during transmission. Every signal that we acquire at the receiver end of any communication system is somehow affected by noise. Noise is the unwanted part of the signal. Signals can be of various types in communication systems depending upon the requirement of the system, like signals carrying information during transmission of voice or speech or image or video. Each of these signals get affected during transmission. So for de-noising of these signals of deferent types we need different noise cancellation mechanism. In this paper we have adopted a noise cancellation mechanism for signals carrying information in voice communication. In voice communication the recorded speech data signal transmitted will be useless until and unless proper noise cancellation mechanism is adopted at the receiver end. There are so many mechanisms for such noise cancellation. A lot of research work is going on to find a complete solution to this problem. In this paper, we have adopted a new adaptive noise cancellation algorithm. This algorithm, we have proposed is based on mean power calculation of the speech signal. The average power of each speech frame is calculated. Then those frames are accepted which exhibits average power above certain threshold level.