Efficient signal processing using short word-length techniques. It is expected that the research will lead to significant reductions in cost and computational overheads for signal processing systems in general. These cost/speed enhancements have implications for radar, communications, audio, speech, video, aerospace, defence and biomedical engineering. In the last few decades, developments in enhancing the speed of processing signals has been clearly seen to impinge greatly on the lives of all c ....Efficient signal processing using short word-length techniques. It is expected that the research will lead to significant reductions in cost and computational overheads for signal processing systems in general. These cost/speed enhancements have implications for radar, communications, audio, speech, video, aerospace, defence and biomedical engineering. In the last few decades, developments in enhancing the speed of processing signals has been clearly seen to impinge greatly on the lives of all citizens and so positive outcomes from the research can be expected to translate into increased quality of life for the whole country.Read moreRead less
Analysis of Polynomial Phase Signals with Missing Observations. Many non-stationary signals in radar, physics and communications can be modelled as polynomial phase signals. These signals are often incomplete due to missing observations from intermittent sensor failures, outliers, receiver errors, periodic interference and inaccessibility of data. The aim of this project is to develop robust and computationally efficient methods for recovering such signals from small data sets when there is a la ....Analysis of Polynomial Phase Signals with Missing Observations. Many non-stationary signals in radar, physics and communications can be modelled as polynomial phase signals. These signals are often incomplete due to missing observations from intermittent sensor failures, outliers, receiver errors, periodic interference and inaccessibility of data. The aim of this project is to develop robust and computationally efficient methods for recovering such signals from small data sets when there is a large proportion of missing observations. This will contribute to a conceptual advancement in the field of signal processing and will provide new methods for use in applications such as radar, astrophysics, seismology, vibration analysis and communications.Read moreRead less