## Abstract

The equalization problem for rapidly varying channels is addressed, using multiresolution analysis tools. The time variations of the channel are modeled directly by expanding each time-varying (TV) tap coefficient onto a P-band wavelet basis. Only the low-resolution signal is then retained as a natural approximation of the channel's trajectory. The choice of the wavelet basis so that the approximation is optimal in the mean square sense is discussed. An algorithm based on higher-order statistics, which estimates the wavelet coefficients from output-only data, is proposed. Once the channel has been estimated, the Viterbi algorithm is used to complete this blind equalization approach.

Original language | English (US) |
---|---|

Title of host publication | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |

Publisher | Institute of Electrical and Electronics Engineers Inc. |

Pages | 447-450 |

Number of pages | 4 |

ISBN (Electronic) | 0780308050, 9780780308053 |

DOIs | |

State | Published - 1992 |

Externally published | Yes |

Event | 1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Victoria, Canada Duration: Oct 4 1992 → Oct 6 1992 |

### Publication series

Name | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |
---|

### Conference

Conference | 1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |
---|---|

Country | Canada |

City | Victoria |

Period | 10/4/92 → 10/6/92 |

### Bibliographical note

Funding Information:‘This work was partly supported by NSF-MIP 9210230.