EPSRC Reference: |
GR/R81763/01 |
Title: |
Statistical Aspects of Chaos-based Communications Modelling |
Principal Investigator: |
Lawrance, Professor AJ |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
School of Mathematics |
Organisation: |
University of Birmingham |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
04 November 2002 |
Ends: |
03 July 2003 |
Value (£): |
10,045
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EPSRC Research Topic Classifications: |
Modelling & simul. of IT sys. |
Non-linear Systems Mathematics |
Statistics & Appl. Probability |
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EPSRC Industrial Sector Classifications: |
No relevance to Underpinning Sectors |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The proposed research is in the area of chaos-based communications modelling, a fast developing area in communications engineering which requires a multidisciplinary synthesis of engineering, nonlinear dynamics, chaos and statistics, with novel interactions between them; it is an area in which the UK engineering and statistics communities are relatively under active. The fundamental aim is to produce communications systems which incorporate much chaotic irregularity as a means ensuring their secure performance and which at the same time are efficient in their transmission and receiver functions. Dr Jianbo Liu, a young post-doctoral researcher from Shanghai, has done extensive work from a theoretically sound engineering perspective in this area which complements work being undertaken by Professor Lawrance and Dr Hilliam in Birmingham and their associates in Europe. The visit thus has the potential for disseminating valuable Chinese contributions in the UK and continental Europe and for advancing the proposer's area on several fronts. Dr Liu has developed a model of multivariable chaos which dovetails into current Birmingham work, and should lead to improvements of current proposals in synchronization aspects of chaos communications. His synhronization work has the potential for providing efficient multiuser systems, extending current Birmingham work in this direction, while another primary aim of the visit will be to enable the probabilistic study of interference effects, not considered so far.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.bham.ac.uk |