Spectral decomposition is an important signal analysis tool for seismic data. The overall frequency content of a signal can be obtained from Fourier transform. However, for a non-stationary signal, such as seismic signal, whose frequency content varies with time, 1D transformation in frequency is not sufficient. Traditionally, 2D representation in time and frequency space for a 1D signal is achieved by taking the Fourier transform over a short-time window. This method is commonly known as short-time Fourier transform (STFT). The windowing problem in time-frequency analysis is absent in continuous wavelet transform (CWT) method. S transform is a phase corrected form of CWT that yield a good result in analysis of seismic signals. Newly developed time-frequency attributes and their drawbacks is studied in this paper.


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