How to reduce the precision of calculations in Matlab?

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Vitaliy Chistyakov 2016-9-16

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回答： Krishna Bindumadhavan 2019-9-14

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?

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Star Strider 2016-9-16

You can use int16 or uint16, depending on what you need.

Guillaume 2016-9-16

编辑：Guillaume 2016-9-16

@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').

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Answer 1

Guillaume 2016-9-16

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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.

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Walter Roberson 2016-9-16

https://www.mathworks.com/matlabcentral/fileexchange/23173-ieee-754r-half-precision-floating-point-converter

Also there might be some GPU support for half precision.

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Answer 2

Walter Roberson 2016-9-16

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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.

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Answer 3

Krishna Bindumadhavan 2019-9-14

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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:

https://www.mathworks.com/help/fixedpoint/ref/half.html