Introduction to Time-Frequency and Wavelet Transforms

By S. Qian. 2001

322 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Harmonic wavelets based statistical linearization for response evolutionary power spectrum determination (2012, unknown): “[7,8]).”
Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring (2016, background): “of the mother wavelet function and thereby captures both short duration, high frequency components and long duration, low frequency components [21].”
Applications of fault detection and diagnosis methods in nuclear power plants: A review (2011, background): “, 1996) and WT (Qian, 2002) are extensions to spectrum analysis.”
Two-dimensional windowed Fourier transform for fringe pattern analysis: Principles, applications and implementations (2007, background): “A Gaussian window is often chosen as it provides the smallest Heisenberg box [29,32], which is useful in, for example, multispectral estimation [29].”
Time–frequency representation of earthquake accelerograms and inelastic structural response records using the adaptive chirplet decomposition and empirical mode decomposition (2007, background): “This gives rise to a non- adaptive analysis procedure with significant time- frequency resolution limitations; once the window function is chosen, the frequency and time resolutions are fixed for all frequency bands and all times [1,7].”