Difference between revisions of "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 examples of filter applications:
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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.
* Extracting a desired signal from other signals,
 
* Separating signals from noise,
 
* Anti-aliasing in analog-to-digital converters or smoothing in digital-to-analog converters,
 
* Phase equalization, and
 
* Limiting amplifier bandwidths for reducing noise, etc.
 
  
 
== Filter Types ==
 
== Filter Types ==

Revision as of 12:33, 12 March 2021

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

Ideal vs. Practical Filters

Magnitude and Frequency Metrics

Group Delay