An adaptive non-parametric short-time Fourier transform: Application to echolocation
暂无分享,去创建一个
Jin Chen | Gang Chen | Guangming Dong | Huiming Jiang | Jin Chen | G. Dong | Gang Chen | Huiming Jiang
[1] LJubisa Stankovic,et al. Instantaneous frequency estimation by using the Wigner distribution and linear interpolation , 2003, Signal Process..
[2] W. M. Zhang,et al. Polynomial Chirplet Transform With Application to Instantaneous Frequency Estimation , 2011, IEEE Transactions on Instrumentation and Measurement.
[3] A. Berthon. Operator Groups and Ambiguity Functions in Signal Processing , 1989 .
[4] D. Gabor,et al. Theory of communication. Part 1: The analysis of information , 1946 .
[5] Yang Yang,et al. Multicomponent Signal Analysis Based on Polynomial Chirplet Transform , 2013, IEEE Transactions on Industrial Electronics.
[6] Guoyu Meng,et al. Time–frequency data fusion technique with application to vibration signal analysis , 2012 .
[7] Fulei Chu,et al. Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples , 2013 .
[8] Richard G. Baraniuk,et al. Pseudo affine Wigner distributions: definition and kernel formulation , 1998, IEEE Trans. Signal Process..
[9] Simon Haykin,et al. The chirplet transform: physical considerations , 1995, IEEE Trans. Signal Process..
[10] Seán F. McLoone,et al. The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique , 2013, IEEE Transactions on Biomedical Engineering.
[11] Gaël Chevallier,et al. Tracking and removing modulated sinusoidal components: A solution based on the kurtosis and the Extended , 2013 .
[12] Guangming Dong,et al. Chirplet Wigner–Ville distribution for time–frequency representation and its application , 2013 .
[13] J. R. Carson,et al. Variable frequency electric circuit theory with application to the theory of frequency-modulation , 1937 .
[14] Hiroshi Riquimaroux,et al. FM echolocating bats shift frequencies to avoid broadcast–echo ambiguity in clutter , 2010, Proceedings of the National Academy of Sciences.
[15] Minghong Han,et al. A fault diagnosis method based on local mean decomposition and multi-scale entropy for roller bearings , 2014 .
[16] Balth. van der Pol,et al. The Fundamental Principles of Frequency Modulation , 1946 .
[17] Paul A. Faure,et al. Evolution of high duty cycle echolocation in bats , 2012, Journal of Experimental Biology.
[18] G. Jang,et al. Time-Frequency Analysis of Power-Quality Disturbances via the Gabor–Wigner Transform , 2010, IEEE Transactions on Power Delivery.
[19] Paul S. Addison,et al. The Illustrated Wavelet Transform Handbook Introductory Theory And Applications In Science , 2002 .
[20] Pan Zheng,et al. Blow-up and global existence for the non-local reaction diffusion problem with time dependent coefficient , 2013 .
[21] Thierry Paul,et al. Wave functions on subgroups of the group of affine canonical transformations , 1984 .
[22] Dumitru Baleanu,et al. Mathematical aspects of the Heisenberg uncertainty principle within local fractional Fourier analysis , 2013 .
[23] Yaguo Lei,et al. A review on empirical mode decomposition in fault diagnosis of rotating machinery , 2013 .
[24] Yu Huang,et al. Time-Frequency Representation Based on an Adaptive Short-Time Fourier Transform , 2010, IEEE Transactions on Signal Processing.
[25] Baldev Raj,et al. Short time Fourier transform analysis for understanding frequency dependent attenuation in austenitic stainless steel , 2013 .
[26] M. B. Fenton,et al. Questions, ideas and tools: lessons from bat echolocation , 2013, Animal Behaviour.
[27] Khaled H. Hamed,et al. Time-frequency analysis , 2003 .