# How to reduce the precision of calculations in Matlab?

25 views (last 30 days)
Hello everyone! I'm writing an algorithm, which is then required to perform in the microcontroller. Usually ADC has 14-bit. Matlab uses a data type of double (64-bit, double -precision) and float (32-bit, single-precision) when using real numbers: -12,234 or 742,0263 etc. How to reduce the precision of calculations in Matlab (maybe use half-precision, but i don't know how), or reduce the bit my variables (e.g. 16-bit) to work with the ADC?

Show 1 older comment
Vitaliy Chistyakov on 16 Sep 2016
Thanks Stephen! But may be possible solve this question differently?
Star Strider on 16 Sep 2016
You can use int16 or uint16, depending on what you need.
Guillaume on 16 Sep 2016
@Stephen, the float type in C languages normally means a 32-bit floating point number and matlab keeps this convention, as 'float' is an accepted precision for fread (and is equivalent to 'single').

Guillaume on 16 Sep 2016
If you are really limited to 14 bits for real numbers, then probably you should be used fixed-point numbers instead of floating point numbers. As far as I know matlab does not support half-precission IEEE-754 numbers and anyway these are 16 bits.

#### 1 Comment

Walter Roberson on 16 Sep 2016
https://www.mathworks.com/matlabcentral/fileexchange/23173-ieee-754r-half-precision-floating-point-converter
Also there might be some GPU support for half precision.

Walter Roberson on 16 Sep 2016
When you read a sample from an ADC that uses has 14 bit integer resolution, the result is a 16 bit number that has the value in the most significant 14 bits.

Krishna Bindumadhavan on 14 Sep 2019
MATLAB now supports half precision floating point numbers via the half precision object, which is available from the fixed point designer toolbox. For more information, please refer to:

### Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by