Editing Full scale

{{Short description|Maximum amplitude a system can represent}}
{{other uses|Full Scale (disambiguation)}}

In [[electronics]] and [[signal processing]], '''full scale''' represents the maximum [[amplitude]] a system can represent.

In [[digital system]]s, a signal is said to be at '''digital full scale''' when its magnitude has reached the maximum representable value. Once a signal has reached digital full scale, all [[headroom (audio signal processing)|headroom]] has been utilized, and any further increase in amplitude will result in an error known as [[Clipping (signal processing)|clipping]]. The amplitude of a digital signal can be represented in percent; full scale; or [[DBFS|decibels, full scale]] (dBFS).

In analog systems, full scale may be defined by the maximum voltage available, or the maximum deflection ('''full scale deflection''' or '''FSD''') or indication of an analog instrument such as a moving coil meter or [[galvanometer]].

==Binary representation==
Since [[Signed number representations#Two's complement|binary integer]] representation range is asymmetrical, full scale is defined using the maximum positive value that can be represented.<ref>{{Cite web|title=AES Standard » AES17-2015: AES standard method for digital audio engineering - Measurement of digital audio equipment|url=http://www.aes.org/publications/standards/search.cfm?docID=21|last=|first=|date=|website=www.aes.org|archive-url=|archive-date=|access-date=2016-04-29|quote=amplitude of a 997-Hz sine wave whose positive peak value reaches the positive digital full scale, leaving the negative maximum code unused. NOTE In 2's-complement representation, the negative peak is 1 LSB away from the negative maximum code.}}</ref><ref>{{Cite web|title=IEC 61606-3:2008 Audio and audiovisual equipment - Digital audio parts - Basic measurement methods of audio characteristics - Part 3: Professional use|url=https://www.sis.se/api/document/preview/571704/|last=|first=|date=2008|website=International Electrotechnical Commission|language=en|archive-url=|archive-date=|access-date=2018-07-27|quote=amplitude of a 997 Hz sinusoid whose peak positive sample just reaches positive digital full-scale (in 2’s-complement a binary value of 0111…1111 to make up the word length) and whose peak negative sample just reaches a value one away from negative digital full-scale (1000…0001 to make up the word length) leaving the maximum negative code (1000…0000) unused}}</ref>  For example, [[Audio bit depth|16-bit PCM audio]] is centered on the value 0, and can contain values from −32,768 to +32,767.  A signal is at full-scale if it reaches from −32,767 to +32,767.  (This means that −32,768, the lowest possible value, slightly ''exceeds'' full-scale.)

Signal processing in [[Digital audio workstation|digital audio workstations]] often uses [[floating-point arithmetic]], which can include values past full-scale, to avoid clipping in intermediate processing stages.  In a [[Floating-point arithmetic|floating-point]] representation, a full-scale signal is typically defined to reach from −1.0 to +1.0.<ref>{{Cite web|title=Wave File Specifications|url=http://www-mmsp.ece.mcgill.ca/Documents/AudioFormats/WAVE/WAVE.html|last=|first=|date=|website=McGill University Telecommunications & Signal Processing Laboratory|archive-url=|archive-date=|access-date=2020-05-03|quote=For float data, full scale is 1.}}</ref><ref>{{Cite web|title=Adobe Audition User Guide|url=https://rps.org/media/kq1pv42g/audition_user_guide.pdf|last=|first=|date=|website=|archive-url=|archive-date=|access-date=|quote=32-bit 0.24 normalized float (type 3 – 32-bit) is the standard floating point format for type 3 .wav files. Values are normalized to the range +/-1.0}}</ref>

==Processing==
The signal passes through an [[Anti-aliasing filter|anti-aliasing]], [[Sample rate conversion|resampling]], or [[reconstruction filter]], which may increase peak amplitude slightly due to [[Ringing artifacts|ringing]]. 

It is possible for the ''analog'' signal ''represented by'' the digital data to exceed digital full scale even if the digital data does not, and vice versa. Converting to the analog domain, there is no clipping problem as long as the analog circuitry in the [[digital-to-analog converter]] is well designed.

If a full-scale analog signal is converted to digital with sufficient sampling frequency, and then [[Signal reconstruction|reconstructed]], the [[Nyquist theorem]] guarantees that there will be no problem in the analog domain due to "peak" issues because the restored analog signal will be an exact copy of the original analog signal. (However, if the signal is [[Audio normalization|normalized]] in the digital domain, it may contain "intersample peaks" which exceed full scale after analog reconstruction.)<ref>{{Cite web|url=https://service.tcgroup.tc/media/Level_paper_AES109%281%29.pdf|title=0dBFS+ Levels in Digital Mastering|last1=Nielsen|first1=Søren H.|last2=Lund|first2=Thomas|website=TC Electronic A/S|location=Denmark|access-date=2018-07-27|archive-date=2019-05-02|archive-url=https://web.archive.org/web/20190502034621/https://service.tcgroup.tc/media/Level_paper_AES109%281%29.pdf|url-status=dead}}</ref>

==References==
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{{DEFAULTSORT:Full Scale}}
[[Category:Digital signal processing]]
[[Category:Digital audio]]