Migrating signal-processing algorithms from floating- to ... implementation of arithmetic operations is nearly identical whether operating on integer or fractional data types, a processor usually ...

[Editor's note: For an intro to floating-point ... conditions (or saturation if operating with saturation mode arithmetic). Thus, normalizing values to the -1 to 1 range adds several significant ...

I am working on a viewshed* algorithm that does some floating point arithmetic ... Are there certain operations I should stay away from? One thought I have is to scale my input data up to FLT ...

Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms ... operations. Figure 3: Modern formal ...

Most of the algorithms implemented in FPGAs used to be fixed-point. Floating-point operations are useful ... for implementing floating-point arithmetic. Catch up on the latest tech innovations ...

April 20, 2006 - Digital Core Design, the Intellectual Property (IP) provider, today has announced the release of a new – improved DFPMU – Floating Point ... and standard algorithms to compute math ...

Xilinx has announced the availability of ISE Design Suite 13.3 featuring new capabilities for DSP designers to implement bit-accurate single, double and full custom precision floating-point math ...