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Model-based predictive adaptive delta modulation

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
Al-Korj, Anas
b0c7d08f-1f79-4f70-bfb1-8b6f52bc14b1
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304

Al-Korj, Anas and Veres, S.M. (1970) Model-based predictive adaptive delta modulation. 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing" (ALCOSP'07). 29 - 31 Aug 2007. 6 pp .

Record type: Conference or Workshop Item (Paper)

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: 1 January 1970
Venue - Dates: 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing" (ALCOSP'07), 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: 13 Mar 2019 20:53

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