IEEE floating point numbers have just three parts – a sign, an exponent, and a fraction. While a 32-bit floating point number is capable of expressing numbers between 10^-38 and 10^38, with ...

While most programmers use floating point indiscriminately anytime they want to do math with real numbers, because of certain limitations in how these numbers are represented, performance and accuracy ...

Based on recent technological developments, high-performance floating-point signal processing can, for the very first time, be easily achieved using FPGAs. To date, virtually all FPGA-based signal ...

Although many embedded applications can be implemented using integer arithmetic, there are times when the ability to deal with floating point (real) numbers is required. This article looks at the ...