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Everything about Filter (signal processing)

Device for suppressing part of a signal

In signal processing, a filter is a device or process that removes some unwanted components or features from a signal. Filtering is a class of signal processing, the defining feature of filters being the complete or partial suppression of some aspect of the signal. Most often, this means removing some frequencies or frequency bands. However, filters do not exclusively act in the frequency domain; especially in the field of image processing, many other targets for filtering exist. Correlations can be removed for certain frequency components and not for others without having to act in the frequency domain. Filters are widely used in electronics and telecommunication, in radio, television, audio recording, radar, control systems, music synthesis, image processing, computer graphics, and structural dynamics. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Filter (signal processing)A 5-minute orientation
  2. Skim a recent paper: A 3rd-Order FIR Filter Implementation Based on Time-Mode Signal ProcessingInfluential work since 2022
  3. Pick up a classic book: Advanced Signal Processing and Noise ReductionThe most-reprinted book on the subject
  4. Read the landmark paper: Application of adaptive Savitzky–Golay filter for EEG signal processingCited 144 times
  5. Go sideways: Butterworth filterA closely related topic
  6. Go sideways: Linear filterA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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