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	A high-accuracy parameter estimation algorithm for jointless Frequency-shift track circuit (EI CONFERENCE) 会议论文 OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China 作者: Zheng X. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 FSK (Frequency Shift keying) signal which has advantages of narrow-bandwidth strong anti-interference ability long transmission distance and so on is used in jointless Frequency-shift track circuit to send different kinds of control signals. However as FSK is non-linearly modulated parameter estimation with high accuracy is hard to realize. Based on the spectrum analysis complement with time-frequency distribution a highaccuracy FSK signal parameter estimation algorithm is put forward in this paper. According to the signal characteristics under-sampling and ZFFT are used to improve the accuracy of spectrum analysis and the base frequency resolution meets system requirement of 0.02Hz. Wigner-Ville distribution has an excellent time-frequency concentration while serious cross-term interference at the same time. Through the design of kernel function the cross-terms are almost suppressed and the upper/down side frequency resolution meets the system requirement of 0.2Hz. The effectivities of all the methods mentioned above have been proved by MATLAB simulation which pave a solid way for the development of high-accuracy FSK signal parameter estimation devices. 2008 IEEE.
	TVAR Time-frequency Analysis for Non-stationary Vibration Signals of Spacecraft 期刊论文 OAI收割 CHINESE JOURNAL OF AERONAUTICS, 2008, 卷号: 21, 期号: 5, 页码: 423-432 作者: Hai Yang; Wei Cheng; Hong Zhu \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/02/02 non-stationary random vibration time-frequency distribution process neural network empirical mode decomposition
	TVAR Time-frequency Analysis for Non-stationary Vibration Signals of Spacecraft 期刊论文 OAI收割 CHINESE JOURNAL OF AERONAUTICS, 2008, 卷号: 21, 期号: 5, 页码: 423-432 作者: Hai Yang; Wei Cheng; Hong Zhu \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/02/02 non-stationary random vibration time-frequency distribution process neural network empirical mode decomposition
	Nonnegative time-frequency distributions for parametric time-frequency representations using semi-affine transformation group 期刊论文 OAI收割 SIGNAL PROCESSING, 2005, 卷号: 85, 期号: 9, 页码: 1813-1826 作者: Zou, HX; Wang, DJ; Zhang, XD; Li, YD 收藏 \| 浏览/下载：25/0 \| 提交时间：2015/11/06 nonnegative time-frequency distribution Wigner-Ville distribution FM(m)let transform Dopplerlet transform semi-affine transformation (SAT) group instantaneous frequency parametric atomic decomposition matching pursuit