In: Electrical Engineering
Matlab Take any sound that of which high or low frequency response contents can be easily distinguished and then using the low pass and high pass filter seperate the sounds.
A high-pass filter (also known as a bass-cut filter) attenuates
signals below a cutoff frequency (the stopband) and allows signals
above the cutoff frequency (the passband).
The output of this filter is directly proportional to rate of
change of the input signal and vice versa for Low pass filter
High-pass filters are often used to clean up low-frequency noise, remove humming sounds in audio signals, redirect higher frequency signals to appropriate speakers in sound systems, and remove low-frequency trends from time series data thereby highlighting the high-frequency trends
Common design methods for high-pass FIR-based filters include Kaiser window, least squares, and equiripple. Design methods for IIR-based filters include Butterworth, Chebyshev (Type-I and Type-II), and elliptic.
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.