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A Signal Driven Adaptive Resolution Short-Time Fourier Transform

By Saeed Mian Qaisar, Laurent Fesquet and Marc Renaudin

Abstract

Abstract—The frequency contents of the non-stationary signals vary with time. For proper characterization of such signals, a smart time-frequency representation is necessary. Classically, the STFT (short-time Fourier transform) is employed for this purpose. Its limitation is the fixed timefrequency resolution. To overcome this drawback an enhanced STFT version is devised. It is based on the signal driven sampling scheme, which is named as the cross-level sampling. It can adapt the sampling frequency and the window function (length plus shape) by following the input signal local variations. This adaptation results into the proposed technique appealing features, which are the adaptive time-frequency resolution and the computational efficiency

Topics: Keying, FSK (Frequency Shift Keying) etc. also lie in the same category. The spectral contents of these sign
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.8518
Provided by: CiteSeerX
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