Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data

这个项目解决了一个在科学和技术中具有根本重要性的问题，其中非平稳数据（具有时变统计数据）无处不在。因此，开发时频工具来模拟和分析非平稳数据，在从地震数据分析到生物医学信号处理到声纳和雷达的广泛领域具有巨大的影响潜力。采用本提案中开发的技术，我们希望能够分类和检测使用迄今为止已知方法无法识别的非平稳数据的特征。

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.