TY - GEN
T1 - Nonlinear squeezing transform for weak signal detection
AU - Wang, Shibin
AU - Chen, Xuefeng
AU - Wang, Yan
AU - Ding, Baoqing
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/3
Y1 - 2014/9/3
N2 - We introduce a novel algorithm, called nonlinear squeezing transform, to characterize the time-frequency pattern of nonstationary multi-component signals, especially for weak component detection. As a generally known, conventional time-frequency analysis (TFA) methods can characterize the time-frequency pattern of nonstationary signal. However, it is difficult to detect the weak component hidden in complex signals because the time-frequency information is influenced by the amplitude of the signal. Inspired by the calculation procedure of instantaneous frequency in the synchro-squeezing transform, nonlinear squeezing transform is presented, which is only relevant to the phase but is independent of the signal amplitude. The experiment on real signal shows that the method can effectively detect the weak component in complex signals, and the comparison study with some TFA methods also shows the advantages in weak signal detection.
AB - We introduce a novel algorithm, called nonlinear squeezing transform, to characterize the time-frequency pattern of nonstationary multi-component signals, especially for weak component detection. As a generally known, conventional time-frequency analysis (TFA) methods can characterize the time-frequency pattern of nonstationary signal. However, it is difficult to detect the weak component hidden in complex signals because the time-frequency information is influenced by the amplitude of the signal. Inspired by the calculation procedure of instantaneous frequency in the synchro-squeezing transform, nonlinear squeezing transform is presented, which is only relevant to the phase but is independent of the signal amplitude. The experiment on real signal shows that the method can effectively detect the weak component in complex signals, and the comparison study with some TFA methods also shows the advantages in weak signal detection.
KW - Time-frequency analysis
KW - instantaneous frequency
KW - multi-component signal
KW - signal detection
KW - synchrosqueezing transform
UR - https://www.scopus.com/pages/publications/84929405904
U2 - 10.1109/ChinaSIP.2014.6889338
DO - 10.1109/ChinaSIP.2014.6889338
M3 - 会议稿件
AN - SCOPUS:84929405904
T3 - 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
SP - 718
EP - 722
BT - 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014
Y2 - 9 July 2014 through 13 July 2014
ER -