## Higher-order statistical signal processingBoualem Boashash, Edward J. Powers, Abdelhak M. Zoubir A record of the 1992 special international conference on higher-order statistical signal processing and its applications held at the Gold Coast, Qld. Explores fundamental concepts and the theory of higher-order statistics. It describes applications of higher-order statistics, illustrating how they can be applied to solve practical problems in engineering and applied science. Includes bibliography and an index. |

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### Contents

Introduction to Higherorder Statistical Signal Processing | 3 |

Theoretical Foundations of Higherorder Statistical Signal | 27 |

The Sensitivity of Highorder Parameter Estimation | 89 |

Copyright | |

14 other sections not shown

### Common terms and phrases

Acoustics algorithm amplitude bicoherence Bispectral Analysis bispectrum Boashash coefficients complex computed consider correlation covariance cross-bicoherence cumulant functions cyclostationary defined denotes detection deterministic discrete discrete Fourier transform distribution E. J. Powers energy transfer Engineering equations estimation finite FM signals Fonollosa Fourier transform Gaussian noise given harmonics higher-order spectra Higher-order Statistical Signal IEEE IEEE Trans impulse response input interactions measured method modes modulation non-Gaussian non-stationary nonlinear system observed orthogonal oscillations output parameters phase coupling polynomial polyspectrum power spectrum Proc process x(t properties PWVD radar random variables sample scattering second-order sensor sequence shown in Figure sinusoids spectral peaks stationary Statistical Signal Processing subharmonic system identification target techniques third-order cumulant time-frequency time-varying tion transfer functions transient variance vector vibrations Volterra kernels Volterra series Volterra system wave wavelet wavenumber Wigner-Ville Wigner-Ville distribution wing zero zero-mean