ARGEN: A behavioral level compiler for hardware realisation of DSP systems
ARGEN: A behavioral level compiler for hardware realisation of DSP systems
This paper introduces ARGEN, a compiler that translates behavioural level description of DSP algorithms into efficient data path structures expressed in VHDL. ARGEN is based on novel data path synthesis algorithms that utilise stochastic techniques and hence result in low computational complexity and excellent solution quality. These features make it suitable for application to a wide range of practical DSP applications including FIR, IIR digital filters, compression algorithms and DCTs used in video applications.
Kollig, P.
d7f7aada-a447-407b-857a-1fa6250083a4
Al-Hashimi, B.M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
October 1998
Kollig, P.
d7f7aada-a447-407b-857a-1fa6250083a4
Al-Hashimi, B.M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Kollig, P. and Al-Hashimi, B.M.
(1998)
ARGEN: A behavioral level compiler for hardware realisation of DSP systems.
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Abstract
This paper introduces ARGEN, a compiler that translates behavioural level description of DSP algorithms into efficient data path structures expressed in VHDL. ARGEN is based on novel data path synthesis algorithms that utilise stochastic techniques and hence result in low computational complexity and excellent solution quality. These features make it suitable for application to a wide range of practical DSP applications including FIR, IIR digital filters, compression algorithms and DCTs used in video applications.
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Published date: October 1998
Additional Information:
Address: London
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 251515
URI: http://eprints.soton.ac.uk/id/eprint/251515
PURE UUID: 8943df8e-5a2c-4182-a5a6-950f0f2c89ed
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Date deposited: 03 Nov 1999
Last modified: 10 Dec 2021 20:22
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Contributors
Author:
P. Kollig
Author:
B.M. Al-Hashimi
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