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Article Dans Une Revue Research Letters in Signal Processing Année : 2008

An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform

Résumé

The short-time Fourier transform (STFT) is a classical tool, used for characterizing the time varying signals. The limitation of the STFT is its fixed time-frequency resolution. Thus, an enhanced version of the STFT, which is based on the cross-level sampling, is devised. It can adapt the sampling frequency and the window function length by following the input signal local characteristics. Therefore, it provides an adaptive resolution time-frequency representation of the input signal. The computational complexity of the proposed STFT is deduced and compared to the classical one. The results show a significant gain of the computational efficiency and hence of the processing power.

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Dates et versions

hal-00288750 , version 1 (18-06-2008)

Identifiants

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Saeed-Mian Qaisar, Laurent Fesquet, Marc Renaudin. An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform. Research Letters in Signal Processing, 2008, 2008 (Article ID 932068), 5pp. ⟨10.1155/2008/932068⟩. ⟨hal-00288750⟩

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