High Performance Microwave Oscillators for Radars, Comminication Systems and Precision Noise Measurements. The aim of the project is to develop a new class of microwave oscillators with unique combination of properties including low-noise, high frequency stability and reduced sensitivity to vibration. Such oscillators are essential for expanding fields of radar, fiber optics, optical frequency synthesis and metrology.
The industrial partner's focus will be on demands for reduced cost and impro ....High Performance Microwave Oscillators for Radars, Comminication Systems and Precision Noise Measurements. The aim of the project is to develop a new class of microwave oscillators with unique combination of properties including low-noise, high frequency stability and reduced sensitivity to vibration. Such oscillators are essential for expanding fields of radar, fiber optics, optical frequency synthesis and metrology.
The industrial partner's focus will be on demands for reduced cost and improved environmental performance, the university team will focus on improved frequency stability, optimal tuning and novel vibration immunity techniques.
Achieving the project goals will broaden the international markets for the industry partner's products and lead to increased export income for Australia.
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Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data. This project addresses an issue of fundamental importance in science and technology, where non-stationary data (which have time-varying statistics) are ubiquitous. Therefore, the development of time-frequency tools to model and analyse non-stationary data has great potential for impact in a wide range of areas reaching from seismic data analysis to biomedical signal processing to sonar and ra ....Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data. This project addresses an issue of fundamental importance in science and technology, where non-stationary data (which have time-varying statistics) are ubiquitous. Therefore, the development of time-frequency tools to model and analyse non-stationary data has great potential for impact in a wide range of areas reaching from seismic data analysis to biomedical signal processing to sonar and radar. Employing techniques to be developed in this proposal, we expect to be able to classify and detect features of non-stationary data that were unrecognisable using hitherto known methods.Read moreRead less