A statistical analysis of two classes of time-frequency representations
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The aim of this paper is to present a statistical analysis of the continuous linear and bilinear time-frequency representations. Such an analysis can be useful for the estimation of different parameters of not stationary signals corrupted by noise, like the instantaneous frequency or the instantaneous bandwidth. The case of discrete time-frequency representations is also considered. Simulations verify the theoretical results obtained.
[1] L. Stanković. Analysis of noise in time-frequency distributions , 2002, IEEE Signal Processing Letters.
[2] Richard Kronland-Martinet,et al. Asymptotic wavelet and Gabor analysis: Extraction of instantaneous frequencies , 1992, IEEE Trans. Inf. Theory.