Conjunctive descriptions based on non-Fourier representations

N. Sudarshan Rao, P. S. Moharir

Research output: Contribution to journalArticlepeer-review


The notion of conjunctive descriptions of signals as a generalization of the time-frequency distributions was introduced some time ago. This paper discusses some of those which are akin to Rihaczek distribution but based on non-Fourier transforms. For few deterministic signals they are computed and a visual comparison is made with the conventional Wigner distribution. In case of stochastic signals alternative schemes for obtaining smooth distributions are suggested.

Original languageEnglish (US)
Pages (from-to)1-17
Number of pages17
JournalDigital Signal Processing: A Review Journal
Issue number1
StatePublished - Jan 1999

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Statistics, Probability and Uncertainty
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Applied Mathematics


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