Signal Filtering

This lecture covers the concept of signal filtering, where a signal passing through a filter results in a distorted version, commonly used to reduce noise. Two types of low-pass filters are discussed: ideal low-pass filter and moving average filter. Examples illustrate the impact of these filters on signals, showcasing frequency suppression and smoothing effects. The effect of the filter period on the output signal smoothness and delay is also explored. The comparison between the two filters in terms of frequency attenuation in the spectral representation is presented, highlighting their distinct characteristics. In conclusion, the importance of low-pass filters in suppressing or reducing high frequencies in a signal is emphasized, with a hint at another significant application of such filters.