Compression of floating point numbers
When floating point numbers are stored, but not the entire value range and full precision are needed, it is useful to quantify the numbers.
Example: A measured variable can only assume values from 0 to 100 and has an accuracy of one decimal place. So there are 1001 different values. For this 10 bit are sufficient, because 2^10 = 1024 values can be coded.
It is not always that simple; sometimes there are additional restrictions or special requirements for the compression speed. The efficient algorithms of 256.systems can help to store floating point values quickly and in a space-efficient way, and to read them again just as quickly afterwards. For more complicated problems, tailored solutions can be developed.
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