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antenna characteristics, DAM reduces the complexity of communication systems, minimizing the need for filters, mixers, and linear amplification. This not only simplifies the design but also addresses one
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, you will develop a finite-dimensional state observer incorporating piezoelectric sensors. This will involve applying modal decomposition and H-infinity filter design methods to create an effective
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to radar and other types. The challenges both from modelling, sensing, filtering and decision making point of view can be considered. Potential methods involve a broad range of machine learning methods
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into account. Traffic models and filters are going to be investigated and developed dealing with the appropriate fusion of multiple sensor data. Both centralised and distributed traffic state estimate techniques
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: Applications accepted all year round Details This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing