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Table of Contents Bivariate Data Time Series Filtering Signals	Index
See also: time and frequency, filtering in the frequency domain

Types of Filters

Filtering in its most general sense means removing parts of the spectrum of a signal. Depending on the part which is removed from the signal, there are several basic types of filters:

Low-pass filters cut off all high frequency parts of a signal, lower frequencies can pass the filter. Low-pass filters are closely related to smoothing procedures, such as moving averages. High-pass filters cut off the low parts of the spectrum and let the high frequencies pass. High-pass filters are related to the first derivative of a function. Band-pass filters are formed by a combination of low-pass and high-pass filters so that only frequencies within a certain range (band) can pass the filter. Notch filters remove a certain band from the frequency spectrum and are also formed by a combination of low- and high-pass filters. Please note that the characteristic frequency responses shown above are only theoretical curves - in reality the filter response functions do not show infinite steepness at the cutoff frequencies, nor do they exhibit a smooth transfer characteristic.
 
 
 

Last Update: 2005-Jul-16