Averaging and Filtering

Averaging and Filtering

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Many analyzer measurements have considerable amounts of noise present in them. Except in those cases in which the noise is to be measured, the noise can be considered undesirable. Two basic techniques are used to reduce the noise-filtering and averaging. t Filtering usually takes the form of an analog filter, but it can also be implemented in digital form, while averaging is almost always done digitally. The two concepts are closely related and are treated here in a unified manner. Both filtering and averaging can be classified as either predetection (before the detector) or postdetection (after the detector). Predetection averaging/filtering reduces the noise present in a measurement while postdetection averaging/filtering reduces the amount of fluctuation in the noise.

Chapter Contents:

  • 10.1 Predetection Filtering
  • 10.2 Predetection Filters
  • 10.3 Postdetection Filtering
  • 10.4 Postdetection Filters
  • 10.5 Averaging
  • 10.6 Variance Ratio
  • 10.7 General Averaging
  • 10.8 Linear Weighting
  • 10.9 Exponential Weighting
  • 10.10 Averaging in Spectrum and Network Analyzers
  • 10.11 Averaging Versus Filtering
  • 10.12 Smoothing
  • 10.13 Averaging in FFT Analyzers
  • References

Inspec keywords: filtering theory; filters

Other keywords: analog filter; analyzer measurement; noise filtering; noise averaging; predetection filtering; noise measurement; postdetection averaging; postdetection filtering; predetection averaging

Subjects: Signal processing theory; Filtering methods in signal processing

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