@inproceedings{97dd44a1d7d84401a16d78ac31e5a6fd,
title = "Minimum variance spectral estimation-based time frequency analysis for nonstationary time-series",
abstract = "This paper introduces two new time-frequency analysis methods originated from the minimum variance spectral estimation (MVSE) for nonstationary time-series. First, a windowed MVSE (WMVSE) extends the conventional MVSE by windowing the observation data to obtain a timefrequency distribution for the time-series. Moreover, the window lengths are selected adaptively by the intersection of confidence intervals (ICI) rule to improve the time-frequency resolution. Secondly, a new recursive MVSE (RMVSE) is developed to process the input samples recursively at a lower arithmetic complexity for online time-frequency analysis. Simulation results show that the proposed WMVSE with adaptive windows offers better frequency resolutions than the Fourier-transformed-based time-frequency distributions, and the RMVSE has a good performance when tracking sinusoidal signals.",
author = "Chan, \{S. C.\} and Zhang, \{Z. G.\} and Tsui, \{K. M.\}",
year = "2007",
doi = "10.1109/iscas.2007.378026",
language = "英语",
isbn = "1424409209",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1815--1818",
booktitle = "2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007",
address = "美国",
note = "2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",
}