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Innovative signal processing exploiting chaotic dynamics


The aim of this project is to exploit recent advances in nonlinear dynamical system theory for applications in communications and signal processing. The four target applications are:

Application 1: Data scrambling and spectrum spreading for communications.
Application 2: Generation of broadband noiselike signals for measurement and location purposes.
Application 3: Casting of invisible signatures on images.
Application 4:Information compression using chaotic systems.

The unifying objective of INSPECT is to develop chaotic nonlinear dynamical solutions for these applications which are competitive with current technology in terms of simplicity, cost-effectiveness, and design flexibility.
Expected results

Application 1: Communication techniques using chaos will be evaluated using standard communication system performance measures. The merits and limitations of the technology will be identified.
Application 2: Chaos-based noise generators will be characterised and their suitability for industrial applications in broadband measurement and ranging established.
Application 3: A prototype watermarking scheme for casting invisible signatures on digital images exists. The method will be tested, compared with other watermarking algorithms, and optimised.
Application 4: A compression algorithm for ECG data based on nonlinear dynamics and chaos control will be developed if an appropriate model can be constructed.

During the first phase, the suitability of the proposed solutions in the selected application domains will be determined.

The performance of each of the four applications will be evaluated quantitatively, comparing the state of the art in nonlinear dynamical systems research with conventional techniques in each application domain. The relative advantages and disadvantages of the proposed solutions will be identified and documented.

Those techniques which are deemed to be competitive with current technology or which demonstrate a clear advantage over standard methods will be continued into the second phase, during which prototype demonstrator systems will be developed.

Funding Scheme

ACM - Preparatory, accompanying and support measures


4 Dublin