Polynomial Chirplet Transform With Application to Instantaneous Frequency Estimation
By Zhike Peng, G. Meng, F. Chu, Z. Lang, Wenming Zhang, Yang Yang. IEEE Transactions on Instrumentation and Measurement, 2011
295 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/7e60a9fbf27abd7e05ca5e1f29b4f28ec64048d4
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In Computer Vision and Pattern Recognition
In Control and Systems Engineering
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Citations in the corpus
- Multisynchrosqueezing Transform (2019, methodology): “Therefore, many nonlinear TFA methods are proposed to address the strongly time-varying signals by demodulating the FM component [10]–[13].”
- Synchroextracting Transform (2017, methodology): “Considering that the vibration signal has an oscillatory frequency, for the PTFA and DTFA method, we select the Fourier model as the parameter input.”
- General linear chirplet transform (2016, unknown): “Peng and his group have proposed several non-linear mathematical models to describe the inherent features of many types of the analyzed signals, such as polynomial model [22], spline model [23], and general warblet model [24].”