A low-pass filter is a filter that allows signals below a cutoff frequency known as the passband and attenuates signals above the cutoff frequency known as the stopband.
By removing some frequencies, the filter creates a smoothing effect. That is, the filter produces slow changes in output values to make it easier to see trends and boost the overall signal-to-noise ratio with minimal signal degradation. Low-pass filters, especially moving average filters or Savitzky-Golay filters , are often used to clean up signals, remove noise, perform data averaging, design decimators and interpolators, and discover important patterns.
Other common design methods for low-pass FIR-based filters include Kaiser window , least squares , and equiripple. Of particular interest is the built-in filter visualization tool, which you can use to visualize, compare, and analyze different filter responses.
Butterworth analog Low Pass Filter in Matlab - Matlab program
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