Filter Basics

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Filtering is the oldest and most common type of signal processing, usually in the form of frequency selectivity or phase shaping, or both. Some filter applications include (1) extracting a desired signal from other signals, (2) separating signals from noise, (3) anti-aliasing in analog-to-digital converters or smoothing in digital-to-analog converters, (4) phase equalization, and (5) limiting amplifier bandwidths for reducing noise.

Filter Types

As shown in Figs. 1-5, we can classify filters based on frequency range selectivity as: (1) low-pass filters, (2) high-pass filters, (3) band-pass filters, (4) band-stop, band-reject, or notch filters, and (5) all-pass filters used for phase shaping or equalization.

Figure 1: Low-pass filter magnitude response and symbol.
Figure 2: High-pass filter magnitude response and symbol.
Figure 3: Band-pass filter magnitude response and symbol.
Figure 4: Band-stop filter magnitude response and symbol.
Figure 5: All-pass filter magnitude response and symbol.

Note that we can easily derive high-pass and band-pass filters from their low-pass equivalents, and thus, even though most of our examples feature low-pass filters, the concepts and ideas are applicable to the other filter types.

Ideal vs. Practical Filters

Let us consider an ideal low-pass filter, whose magnitude response is shown in Fig. 6. This ideal filter response has three properties: (1) it has a flat magnitude in the pass-band, resulting in no amplitude distortion in the signals we are passing, (2) it has a "brick wall" transition region, i.e. the transition between the pass-band and stop-band is abrupt, and (3) it has infinite rejection of out-of-band signals, i.e. zero magnitude response. These characteristics make building an ideal filter rather impractical.

Figure 6: The ideal low-pass filter magnitude response.
Figure 7: A practical low-pass filter magnitude response.

A real filter has the following magnitude response properties, as shown in Fig. 7:

  1. The pass-band could contain ripples, thus causing amplitude distortion in the signals being passed by the filter.
  2. There is a finite transition region between the pass-band and the stop-band.
  3. The rejection of stop-band (or out-of-band) signals is finite.

Magnitude and Frequency Metrics

In the design of filters, we can specify the filter specifications using following parameters, as illustrated in Fig. 8:

DC Pass-band Gain,
The value of the magnitude transfer function at DC or .
Corner Frequency,
The corner frequency specification.
Stop-band Frequency,
The stop-band frequency specification.
Figure 8: Filter design specifications.


Group Delay