Wavelets pp 68-98 | Cite as

Some Aspects of Non-Stationary Signal Processing with Emphasis on Time-Frequency and Time-Scale Methods

  • P. Flandrin
Part of the Inverse Problems and Theoretical Imaging book series (IPTI)


The analysis and the processing of nonstationary signals call for specific tools which go beyond Fourier analysis. This paper is intended to review most of the Signal Processing methods which have been proposed in this direction. Emphasis is put on time-frequency representations and on their time-scale versions which implicitly make use of “wavelet” concepts. Relationships between Gabor expansion, wavelet transform and ambiguity functions are detailed by considering signal decomposition as a detection-estimation problem. This permits one to make more precise some of the links which exist between time-frequency and time-scale.


Wigner Distribution Ambiguity Function Signal Proc Signal Decomposition Nonstationary Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • P. Flandrin
    • 1
  1. 1.Laboratoire de Traitement du SignalUA 346 CNRS, ICPILyon Cedex 02France

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