## Proceedings |

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### Contents

Session MA1 SIGNAL PROCESSING FOR COMMUNICATIONS | 1 |

Analysis of a Subspace Channel Estimation Technique for Multlcarrier CDMA Systems | 10 |

SymbolLevel Versus ChipLevel | 18 |

Copyright | |

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### Common terms and phrases

adaptive algorithm amplitude analysis angle antenna applied approach approximation array assumed asymptotic beamforming blind blind equalization blind source separation CDMA channel coefficients complex component computational consider constellation convergence correlation corresponding covariance matrix defined denotes density detection diagonal distribution domain eigenvalues eigenvectors equal equation error Figure filter Fourier frequency function Gaussian noise given IEEE IEEE Trans impulse response input instantaneous interference iteration jammer kernel linear maximum likelihood method noise covariance non-Gaussian nonlinear nonstationary observed obtained optimal orthogonal output paper parameters performance phase problem Proc proposed radar random received samples sensor sequence shown Signal Processing simulation results sinusoids solution source signals space-time spatial spectral spectrum stationary stationary process statistics stochastic stochastic process subspace symbols technique timation time-frequency tion transform Turbo codes unknown values variance vector wavelet Wiener filter zero