Binary scaling: Difference between revisions

Revision as of 03:00, 8 August 2019

Revision as of 06:44, 13 September 2019

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'''Binary scaling''' is a [[computer programming]] technique used typically in embedded [[C (programming language)|C]], [[Digital signal processing|DSP]] and [[assembly language|assembler]] programs to implement pseudo-[[floating point]] operations by using the native [[integer]] arithmetic of the processor.

==Overview==

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Binary scaling is currently used in the [[Discrete cosine transform|DCT]] used to compress [[JPEG]] images in utilities such as [[GIMP]].

Although floating point has taken over to a large degree, where speed and extra accuracy are required, binary scaling works on simpler hardware and is more accurate when the range of values is known in advance.{{Clarify|date=March 2016|post-text=→[[Talk:Binary_scalingBinary scaling#Comparison_with_Floating_PointComparison with Floating Point|talk]]}}

==See also==

{{Portal|Computer Science}}

* [[Libfixmath]] – a library written in C for fixed-point math

* [[Q (number format)]]