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Dopplerlet based time-frequency representation via matching pursuits
Authors:Hongxing Zou  Xiaobo Zhou  Qionghai Dai  Yanda Li
Affiliation:State Key Lab. of Intelligent Technology and Systems, Tsinghua University, Beijing 100084
Abstract:A new time-frequency representation called Dopplerlet transform, which uses the dilated, translated and modulated windowed Doppler signals as its basis functions, is proposed, and the Fourier transform, short-time Fourier transform (including Gabor transform), wavelet transform, and chirplet transform are formulated in one framework of Dopplerlet transform accordingly. It is proved that the matching pursuits based on Dopplerlet basis functions are convergent, and that the energy of residual signals yielded in the decomposition process decays exponentially. Simulation results show that the matching pursuits with Dopplerlet basis functions can characterize compactly a nonstationary signal.
Keywords:Time-frequency analysis  Dopplerlet transform  Pseudo time-frequency distribution  Matching pursuit
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