## Abstract

Joint 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 high-lighted by its simple structure and interpretation, and naturally extends the concept of the corresponding linear representations.

Original language | English (US) |
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Title of host publication | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |

Publisher | IEEE |

Pages | 433-436 |

Number of pages | 4 |

State | Published - 1996 |

Event | Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Paris, Fr Duration: Jun 18 1996 → Jun 21 1996 |

### Other

Other | Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |
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City | Paris, Fr |

Period | 6/18/96 → 6/21/96 |

## ASJC Scopus subject areas

- Engineering(all)