Paper Info
Title
Automatic floating-point to fixed-point conversion for DSP code generation
Abstract
The development of methodologies for the automatic implementation of floating-point algorithms in fixed-point architectures is required for the minimization of cost, power consumption and time to market of digital signal processing applications. In this paper, a new methodology of implementation in Digital Signal Processors (DSP) under accuracy constraint is presented. In comparison with the existing methodologies, the DSP architecture is completely taken into account for optimizing the execution time under accuracy constraint. The justification and the different stages of our methodology are presented.
Year
DOI
Venue
2002
10.1145/581630.581674
CASES
Keywords
Field
DocType
different stage,execution time,automatic implementation,dsp architecture,new methodology,existing methodology,dsp code generation,digital signal processing application,accuracy constraint,automatic floating-point,fixed-point architecture,digital signal processors,code generation,dsp,floating point,digital signal processor,digital signal processing,fixed point,quantization noise
Digital signal processing,Floating point,Digital signal,Computer science,Digital signal processor,Code generation,Real-time computing,Logarithmic number system,Time to market,Quantization (signal processing)
Conference
ISBN
Citations 
PageRank 
1-58113-575-0
25
1.65
References 
Authors
9
4
Name
Order
Citations
PageRank
Daniel Menard120719.00
Daniel Chillet219326.12
François Charot313615.93
Olivier Sentieys459773.35