Memorias de investigación
Communications at congresses:
FPGA Gaussian Random Number Generator Based on Quintic Hermite Interpolation Inversion
Year:2007

Research Areas
  • Electronics engineering

Information
Abstract
In this work we present a very accurate floating point FPGA implementation of a Gaussian random number generator (GRNG) based on the inversion method. The inverse Gaussian cumulative distribution function (GCDF−1) is approximated using a quintic degree segment interpolation with Hermite coefficients and an accuracy-adaptative segmentation which divides the GCDF−1 into several non-uniform segments. Our architecture generates simple floating point samples of 32 bits with an accuracy of 20 bits of mantissa, achieving a 185 MHz speed and a troughput of one sample per cycle on a Xilinx Virtex-II FPGA. (Proceedings: pp. 871-874).
International
Si
Congress
MWSCAS 2007 50st IEEE International Midwest Symposium on Circuits and Systems
960
Place
Montréal (Canada)
Reviewers
Si
ISBN/ISSN
978-1-4244-1175-7
Start Date
05/08/2007
End Date
08/08/2007
From page
To page
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Departamento: Ingeniería Electrónica