Analysis of Polynomial Phase Signals with Missing Observations

缺失观测值的多项式相位信号分析。雷达、物理和通信中的许多非平稳信号都可以建模为多项式相位信号。由于间歇性传感器故障、异常值、接收器错误、周期性干扰和数据不可访问而缺少观测，这些信号通常是不完整的。该项目的目的是开发鲁棒和计算效率高的方法，以便在存在大量缺失观测值的情况下从小数据集中恢复此类信号。这将有助于信号处理领域的概念进步，并将为雷达、天体物理学、地震学、振动分析和通信等应用提供新的方法。

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.