http://iet.metastore.ingenta.com
1887

Averaging and Filtering

Averaging and Filtering

For access to this article, please select a purchase option:

Buy chapter PDF
£10.00
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Spectrum and Network Measurements — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

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

Preview this chapter:
Zoom in
Zoomout

Averaging and Filtering, Page 1 of 2

| /docserver/preview/fulltext/books/te/sbte005e/SBTE005E_ch10-1.gif /docserver/preview/fulltext/books/te/sbte005e/SBTE005E_ch10-2.gif

Related content

content/books/10.1049/sbte005e_ch10
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address