Low-pass filters allow the low frequency components of an input signal to pass through while attenuating (reducing) high frequency components. Measurement noise fall into the high frequency range of the signal spectrum, while the underlying process signal usually lies towards the low frequency end. Thus filters that are used to remove noise from measurements are of the low-pass types.



This program uses Chebyshev FIR low pass filter based on antenna theory approach to filter noise from human speech signal.