A Canonical covariance-based method for generalized joint signal representations

Akbar M. Sayeed, Douglas L. Jones

Research output: Contribution to journalArticlepeer-review


Generalized joint signal representations extend the scope of joint time-frequency representations to a richer class of nonstationary signals. Cohen's marginal-based generalized approach is canonical from a distributional viewpoint, whereas, in some other applications, for example, in a signal detection framework, a covariance-based formulation is needed and/or more attractive. In this note, we present a canonical covariance-based recipe for generating generalized joint signal representations. The method is highlighted by its simple characterization and interpretation, and naturally extends the concept of the corresponding linear representations.

Original languageEnglish (US)
Pages (from-to)121-123
Number of pages3
JournalIEEE Signal Processing Letters
Issue number4
StatePublished - Apr 1996
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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