Joint distributions of arbitrary variables made easy

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, we propose a new framework for studying joint distributions of variables beyond time-frequency and time-scale. When applicable, our results turn the theory of joint distributions of arbitrary variables into an easy exercise of coordinate transformation. While straightforward, our method can generate many distributions previously attainable only by the general method of Cohen.

Original languageEnglish
Title of host publicationIEEE Digital Signal Processing Workshop
Number of pages4
StatePublished - Jan 1 1996
EventProceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway
Duration: Sep 1 1996Sep 4 1996


OtherProceedings of the 1996 7th IEEE Digital Signal Processing Workshop
CityLoen, Norway

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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