Design high-pass filters using MATLAB

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.

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.

For more information on filter design, including these methods, see Signal Processing Toolbox™ for use with MATLAB®. Of particular interest is the built-in filter visualization tool, which you can use to visualize, compare, and analyze different filter responses.

Filter design assistant in Signal Processing Toolbox, for designing filters and generating MATLAB code.

See also: GPUs for signal processing algorithms in MATLAB, software-defined radio, Savitzky-Golay filtering, median filtering, DSP System Toolbox, low-pass filter, Filter Design