@inproceedings{9ba80b20899447489789829d4eb3b03e,
title = "Analysis of multicomponent LMF signals using time-frequency and the gray-scale inverse Hough transform",
abstract = "In this paper, the time-frequency distribution of multicomponent linear-frequency modulation (LFM) signals, which is a function of two variables, has been treated as an {"}image{"}. The gray-scale inverse Hough transform (GIHT), an image processing method, is applied for analyzing the {"}image{"}. The time-frequency distribution (TFD) is computed from an optimally weighted average of multiple Hermite windowed spectrograms, which provides a better {"}image source{"} than the commonly used Wigner distribution and spectrogram for the later image analysis. By taking advantage of GIHT more information in the time-frequency can be utilized and more accurate results have been achieved. Several examples are provided to demonstrate and quantify the effectiveness and robustness of this method.",
keywords = "Gray-scale, Image analysis, Image processing, Maximum likelihood estimation, Radar detection, Radar tracking, Shape, Signal analysis, Spectrogram, Time frequency analysis",
author = "Guohua Wei and Siliang Wu and E. Mao",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE Workshop on Statistical Signal Processing, SSP 2003 ; Conference date: 28-09-2003 Through 01-10-2003",
year = "2003",
doi = "10.1109/SSP.2003.1289376",
language = "English",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "IEEE Computer Society",
pages = "190--193",
booktitle = "Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003",
address = "United States",
}