Treffer: ERROR MODELLING OF DUAL FIXED-POINT ARITHMETIC AND ITS APPLICATION IN FIELD PROGRAMMABLE LOGIC

Title:
ERROR MODELLING OF DUAL FIXED-POINT ARITHMETIC AND ITS APPLICATION IN FIELD PROGRAMMABLE LOGIC
Contributors:
The Pennsylvania State University CiteSeerX Archives
Collection:
CiteSeerX
Document Type:
Fachzeitschrift text
File Description:
application/pdf
Language:
English
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number:
edsbas.9DA0D9C2
Database:
BASE

Weitere Informationen

Dual FiXed-point (DFX) is a new data representation which is an efficient compromise between fixed-point and floatingpoint representations. DFX has an implementation complexity similar to that of a fixed-point system with the improved dynamic range capability of a floating-point system. Automating the process of DFX scaling optimisation requires the knowledge of its truncation/rounding noise properties. This paper presents truncation and rounding error models for DFX arithmetic as traditional error models do not apply to DFX. The models were tested on a 159-tap FIR filter and the benefits of using DFX over floatingpoint are demonstrated with implementations on a Xilinx Virtex II Pro. 1.