A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Signal Processing
Cramer-Rao bounds for wavelet transform-based instantaneous frequency estimates
IEEE Transactions on Signal Processing
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How to choose a wavelet basis for a given signal is always important and difficult in wavelet applications. In this paper, based on the fact that the Morlet has been conventionally selected to make wavelet analysis of LFM signals, some further research on the wavelet basis selection are done. Morlet is in fact not the best choice under all application conditions related to LFM signals processing, which is proved by both the theoretical analysis and the simulation results in this paper. So we should not choose a wavelet basis randomly, but weigh it synthetically.