Dauphin: A new statistical signal processing language

Kyprianou, R, Moran, W and Schachte, P 2013, 'Dauphin: A new statistical signal processing language', in Proceedings of the IEEE 2013 International Conference on Radar (Radar 2013), Adelaide, Australia, 9-12 September 2013, pp. 464-469.


Document type: Conference Paper
Collection: Conference Papers

Title Dauphin: A new statistical signal processing language
Author(s) Kyprianou, R
Moran, W
Schachte, P
Year 2013
Conference name RADAR 2013
Conference location Adelaide, Australia
Conference dates 9-12 September 2013
Proceedings title Proceedings of the IEEE 2013 International Conference on Radar (Radar 2013)
Publisher IEEE
Place of publication United States
Start page 464
End page 469
Total pages 6
Abstract Many software packages support scientific research by means of numerical calculations and specialised library calls, but very few support specific application domains such as signal processing at the symbolic level or at problem formulation. Translation from the natural domain-specific structure of problem description to the computer formulation is often a time consuming and error-prone exercise. As signal processing becomes more sophisticated, there is a need to codify its basic tools, thus allowing the researcher to spend more time on the challenges specific to a particular application. In this paper, we describe the design of Dauphin, a domain-specific programming language. Dauphin ultimately aims to extend the power of signal processing researchers by allowing them to focus on their research problems while simplifying the process of implementing their ideas. In Dauphin, the basic algorithms of signal processing become the standard function calls and are expressed naturally in terms of predefined signal processing primitives such as random variables and probability distributions.
Subjects Signal Processing
Stochastic Analysis and Modelling
Keyword(s) Domain specific
Domain-specific programming languages
Numerical calculation
Problem description
Problem formulation
Research problems
Scientific researches
Statistical signal processing
DOI - identifier 10.1109/RADAR.2013.6652033
Copyright notice © 2013 IEEE
ISBN 9781467351768
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