Home /Research /Arithmetic Coding for Floating-Point Numbers
OTHER

Arithmetic Coding for Floating-Point Numbers

Marc Fischer, Oliver Riedel, Armin Lechler, Alexander Verl

Year
2021
Citations
3

Abstract

To enable the usage of standard hardware in safety-critical applications for production systems, new approaches for hardware fault tolerance are required. These approaches must be implemented on software level. As shown in the literature, arithmetic coding is a promising approach, but only supports integer calculations. For complex safety functions, e.g. in robotics, fast floating-point calculations are needed. Therefore, this paper presents a method for direct arithmetic encoding of floating-point calculations with low-performance impact. Moreover, a detailed residual error estimation is given.

Keywords

Floating pointCoding (social sciences)Computer scienceArithmeticArbitrary-precision arithmeticSoftwareArithmetic codingFault toleranceResidualFixed-point arithmetic

Related papers

Browse all OTHER papers