Model-based predictive adaptive delta modulation
Model-based predictive adaptive delta modulation
This paper presents a new technique in digital communications that is called model-based-predictive adaptive-delta-modulation (MBP-ADM). MBP-ADM uses system identification tools to identify a model of the signal which is used for prediction. Prediction helps the system to respond adaptively to a varying input signal in order to achieve improved performance. The results show a substantial improvement in the signal to noise ratio (SNR) of MBP-ADM’s compared to the ‘classical adaptive’ and ‘non-adaptive’ delta modulators.
Al-Korj, Anas
b0c7d08f-1f79-4f70-bfb1-8b6f52bc14b1
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
31 August 2007
Al-Korj, Anas
b0c7d08f-1f79-4f70-bfb1-8b6f52bc14b1
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Al-Korj, Anas and Veres, S.M.
(2007)
Model-based predictive adaptive delta modulation.
9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing" (ALCOSP'07), St Petersburg, Russia.
29 - 31 Aug 2007.
6 pp
.
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Conference or Workshop Item
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Abstract
This paper presents a new technique in digital communications that is called model-based-predictive adaptive-delta-modulation (MBP-ADM). MBP-ADM uses system identification tools to identify a model of the signal which is used for prediction. Prediction helps the system to respond adaptively to a varying input signal in order to achieve improved performance. The results show a substantial improvement in the signal to noise ratio (SNR) of MBP-ADM’s compared to the ‘classical adaptive’ and ‘non-adaptive’ delta modulators.
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Published date: 31 August 2007
Venue - Dates:
9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing" (ALCOSP'07), St Petersburg, Russia, 2007-08-29 - 2007-08-31
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Local EPrints ID: 49917
URI: http://eprints.soton.ac.uk/id/eprint/49917
PURE UUID: ab91f52d-f60c-4380-90e4-fe4cb33a55d5
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Date deposited: 18 Dec 2007
Last modified: 15 Mar 2024 10:00
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Contributors
Author:
Anas Al-Korj
Author:
S.M. Veres
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