The Butterworth filter can be applied to a signal using Scipy’s butter() method. Read: Python Scipy Curve Fit – Detailed Guide Python Scipy Butterworth Filter The order of the filter is determined by the number of reactive elements employed in the filter circuit. The sequence of the filter affects the rate of roll-off response. The Butterworth filter’s frequency response is flat in the passband (making it a bandpass filter) and rolls off to zero in the stopband. Stephen Butterworth, a British physicist, and engineer, first described it in his paper “On the Theory of Filter Amplifiers” in 1930. The Butterworth filter is frequently referred to as a “maximally flat magnitude filter” for this reason. For instance, a radio receiver has a bandpass filter to choose the required radio signal’s frequency from among all the radio waves received by its antenna.Ī signal processing filter called a Butterworth filter is made to have a frequency response that is as flat as possible in the passband.
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