Exploration of Generator Noise Cancelling Using Least Mean Square Algorithm

Generator noise can be categorized as monotonous noise, which is very annoying and needs to eliminated. However, noise-cancelling not easy do because the algorithm used necessarily suitable for each noise. In this study, generator was obtained by recording near (outdoor signal) from room (indoor signal). Noise exploration carried out determine whether signal removed using Adaptive LMS method. Exploration analyzing statistical signals, spectrum with Fast Fourier Transform (FFT) Inverse FFT (IFFT), frequency distribution of remaining The results showed that correlation coefficients were close other. Outdoor indoor signals are at low frequency. behavior IFFT if described in two dimensions, namely real imaginary axes, formed a circle zero center has parts come circle. It confirms adaptive realized well even though some still left. residual an impulse normally distributed mean=-0.0000735 standard deviation =0.000735. This indicates no longer disturbing.