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{{Refimprove|date=February 2013}}
In [[electronics]] and [[electrical engineering]], the '''form factor''' of an [[alternating current]] waveform (signal) is the ratio of the RMS ([[
== Calculating the form factor ==
For an ideal, continuous wave function over time T, the RMS can be calculated in [[integral]] form:<ref name="Jędrzejewski">{{cite book|last=Jędrzejewski|first=Kazimierz|title=Laboratorium Podstaw Pomiarow|year=2007|publisher=Wydawnictwo Politechniki Warszawskiej|___location=Warsaw|isbn=978-978-83-7207-
<math>
X_\mathrm{rms} = \sqrt {{1 \over {T}} {\int_{t_0}^{t_0+T} {[
</math>
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<math>
k_\mathrm{f} = \frac \mathrm{RMS} \mathrm{ARV} = \frac{\sqrt {{1 \over {T}} {\int_{t_0}^{t_0+T} {[
</math>
<math>X_\mathrm{rms}</math> reflects the variation in the function's distance from the average, and is disproportionately impacted by large deviations from the unrectified average value.<ref>{{cite web|title=Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE)|url=http://www.eumetcal.org/resources/ukmeteocal/verification/www/english/msg/ver_cont_var/uos3/uos3_ko1.htm|archive-url=https://web.archive.org/web/20070714143619/http://www.eumetcal.org/resources/ukmeteocal/verification/www/english/msg/ver_cont_var/uos3/uos3_ko1.htm|url-status=dead|archive-date=14 July 2007|publisher=The European Virtual Organisation for Meteorological Training|accessdate=30 May 2012}}</ref>
It will always be at least as large as <math>X_\mathrm{arv}</math>, which only measures the absolute distance from said average. The form factor thus cannot be smaller than 1 (a square wave where all momentary values are equally far above or below the average value; see below), and has no theoretical upper limit for functions with sufficient deviation.
<math>\mathrm{RMS}_\mathrm{total} = \sqrt{{{\mathrm{RMS}_1}^2} + {{\mathrm{RMS}_2}^2} + ... + {{\mathrm{RMS}_n}^2}}</math>
can be used for combining signals of different frequencies (for example, for harmonics<ref name=Dusza />), while for the same frequency, <math>\mathrm{RMS}_\mathrm{total} = \mathrm{RMS}_1 + \mathrm{RMS}_2 + ... + \mathrm{RMS}_n</math>.
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As ARV's on the same ___domain can be summed as
<math>\mathrm{ARV}_\mathrm{total} = \mathrm{ARV}_1 + \mathrm{ARV}_2 + ... + \mathrm{ARV}_n</math>,
the form factor of a complex wave composed of multiple waves of the same frequency can sometimes be calculated as
<math>k_{\mathrm{f}_\mathrm{tot}} = \frac{\mathrm{RMS}_\mathrm{tot}}{\mathrm{ARV}_\mathrm{tot}} = \frac{\mathrm{RMS}_1 + ... + \mathrm{RMS}_n}{\mathrm{ARV}_1 + ... + \mathrm{ARV}_n}</math>.
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== Application ==
The squaring in RMS and the absolute value in ARV mean that both the values and the form factor are independent of the wave function's sign (and thus, the electrical signal's direction) at any point. For this reason, the form factor is the same for a direction-changing wave with a regular average of 0 and its fully rectified version.
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<math>a</math> represents the amplitude of the function, and any other coefficients applied in the vertical dimension. For example, <math>8 \sin(t)</math> can be analyzed as <math>f(t) = a \sin(t),\ a = 8</math>. As both RMS and ARV are directly proportional to it, it has no effect on the form factor, and can be replaced with a normalized 1 for calculating that value.
<math>D =
to allow pulsing. This is illustrated with the half-rectified sine wave, which can be considered a pulsed full-rectified sine wave with <math>D =
{| class="wikitable"
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! [[Waveform]] !! Image !! [[Root Mean Square|RMS]] !! [[Average rectified value|ARV]] !! Form Factor
|-
| [[Sine wave]] || [[File:Simple sine wave.svg|100px]] || <math>
|-
| [[Rectifier#Half-
|-
| [[Rectifier#Full-
|-
| [[Square wave (waveform)|Square wave]], constant value || [[File:Square wave.svg|100px]] || <math>a</math> || <math>a</math> || <math>
|-
| [[Pulse wave]] || [[File:Pulse wide wave.svg|100px]] || <math>a\sqrt{D}</math><ref>{{cite web|last=Nastase|first=Adrian|title=How to Derive the RMS Value of Pulse and Square Waveforms|url=http://masteringelectronicsdesign.com/how-to-derive-the-rms-value-of-pulse-and-square-waveforms/|accessdate=9 June 2012}}</ref> || <math>aD</math> || <math>
|-
| [[Triangle wave]] || [[File:Triangle wave.svg|100px]] || <math>
|-
| [[Sawtooth wave]] || [[File:Sawtooth wave.svg|100px]] || <math>
|-
| [[
|-
| [[Gaussian white noise]] ''G''(σ) || || <math>\sigma</math><ref>{{cite web|author1-link=Ronald Aarts|last=Aarts|first=Ronald|title=Tracking and estimation of frequency, amplitude, and form factor of a harmonic time series. IEEE SPS Magazine, 38(5), pp. 86-91, Sept. 2021, DOI 10.1109/MSP.2021.3090681 |url=https://www.sps.tue.nl/rmaarts/RMA_papers/aar21pu6.pdf}}</ref>|| <math>\sqrt{{2\over\pi}}\sigma</math> || <math>\sqrt{{\pi\over2}}</math>
|}
==
{{Reflist}}
{{DEFAULTSORT:Form Factor (Electronics)}}
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