Revision as of 15:16, 14 April 2019 edit 70.31.63.166 (talk) →Application of binary scaling techniques: Reading some NPP control algorithms written in the 60's and noted extensive use of b-scaling. Since this predates the 1970's use cited in aerospace, I think that this is worth noting here. ← Previous edit		Revision as of 15:01, 22 May 2019 edit undo 88.219.179.28 (talk) →Overview: Fixed tautological reasoning Next edit →
Line 3: ==Overview== A representation of a floating point value using binary scaling is more precise than a floating point representation occupying the same number of bits, but ~~cannot~~typically ~~represent~~represents values ~~beyond~~of ~~the~~a ~~range~~more ~~that~~limited ~~it represents~~range, ~~thus~~therefore more easily leading to [[arithmetic overflow]] during computation. Implementation of operations using integer arithmetic instructions is often (but not always) faster than the corresponding floating point instructions. A position for the 'binary point' is chosen for each variable to be represented, and binary shifts associated with arithmetic operations are adjusted accordingly. The Binary scaling corresponds in [[Q (number format)]] to the first digit, i.e. Q1.15 is a 16 bit integer

Binary scaling: Difference between revisions