Design of a Floating Point Processor for Nonlinear Functions on an Embedded FPGA)
Jeong Seob Kim, Seul Jung · IEMEK Journal of Embedded Systems and Applications · 2008
This paper presents the hardware design of a 32bit floating point based processor. The processor can perform nonlinear functions such as sinusoidal functions, exponential functions, and other mathematical functions. Using the Taylor series and Newton - Raphson method, nonlinear functions are approximated. The processor is actually embedded on an FPGA chip and tested. The numerical accuracy of the functions is compared with those computed by the MATLAB and confirmed the performance of the processor.