Jones, Douglas L.Sayeed, Akbar M.2007-10-312007-10-311996-01-201996-01-20D. L. Jones and A. M. Sayeed, "A Simple Covariance Based Characterization of Joint Signal Representations of Arbitrary Variables," 1996.https://hdl.handle.net/1911/19987Conference PaperJoint signal representations of arbitrary variables extend the scope of joint time-frequency representations, and provide a useful description for a wide variety of nonstationary signal characteristics. Cohen's marginal-based theory for bilinear representations is canonical from a distributional viewpoint, whereas, from other perspectives, such as characterization of the effect of unitary signal transformations of interest, a covariance-based formulation is needed and more attractive. In this paper, we present a simple covariance-based characterization of bilinear joint signal representations of arbitrary variables. The formulation is highlighted by its simple structure and interpretation, and naturally extends the concept of the corresponding linear representations.engjointsignalrepresentationsTime Frequency and Spectral AnalysisA Simple Covariance Based Characterization of Joint Signal Representations of Arbitrary VariablesConference paperjointsignalrepresentations