## Mathematics in Signal Processing V: Based on the Proceedings of a Conference on Mathematics in Signal Processing Organized by the Institute of Mathematics and Its Applications and Held at the University of Warwick in December 2000This is a collection of papers from the IMA conference on Mathematics in Signal Processing. Signal processing is an important industrial area for the application of mathematical concepts - it has recently been fuelled by developments in mobile communications, multimedia systems and digital TV.This collection of papers presents a good coverage of current activity on this subject worldwide and is of interest to those in industry carrying out research into signal processing for communications, sonar, radar, navigation and biomedical applications, and to academic mathematicians identifyingnew mathematical problems. |

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### Contents

Recent Results and Open | 25 |

Y Lua and J Chambers | 47 |

Klajman and J Chambers | 69 |

Mann and S McLaughlin | 87 |

Anderle and M Kirby | 113 |

P Ashwin and X C | 137 |

Chen and L Hanzo | 157 |

T R Field | 181 |

Y Wang S Van Huffel E Heyvaert L Vanhamme | 229 |

B Barkat | 256 |

Weiss | 263 |

J P Delmas | 287 |

Meurisse and J P Dclmas | 313 |

ZAV Hassell Sweatman J S Thompson B Mulgrew | 327 |

Solution Of The General Harmonic Estimation Problem | 349 |

R Wilson | 205 |

### Common terms and phrases

algorithm amplitude applied approximation array assumed asymptotic attractor Bayesian Bayesian DFE blind blind signal separation bound Cayley transform CDMA channel coefficients complex computational convergence covariance matrix cuumlants data set decomposition defined denotes detection detector diagonal dimension distribution DS-CDMA dynamical eigenvalues embolic signals encoding equal ergodic ergodic theory error estimation example filter bank finite function Gaussian given Hankel matrix higher-order hyperplanes IEEE IEEE Trans implementation impulse independent component analysis iteration jammer Katholieke Universiteit Leuven likelihood linear Mathematics maxiumm measure method MGMM miniumm modulation narrowband noise nonlinear obtained optimal output parameters peak performance periodogram perumtation piecewise polynomial problem Proc random rank representation samples Section shown in Fig Signal Processing sinusoids siumlation source separation space spatial spectral spectrum spreading sequences statistical stochastic subspace techniques tensor Theorem theory tion transform umch umltiple umst unitary unitary matrix values variance wavelet