Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing: May 12-15, 1998, Washington State Conventon and Trade Center, Seattle, Washington (USA)IEEE Service Center, 1998 - Electro-acoustics |
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Page 2329
... noisy environments . Unfortunately , the literature is rather insufficient in methods for unbiased parameter esti- mation of noisy AR signals . Among the existing methods , there are the the modified Yule - Walker ( MYW ) equations ...
... noisy environments . Unfortunately , the literature is rather insufficient in methods for unbiased parameter esti- mation of noisy AR signals . Among the existing methods , there are the the modified Yule - Walker ( MYW ) equations ...
Page 2349
... noisy or rank - excessive matrices . Simulation studies bear out the effectiveness of the pro- posed algorithms providing significantly better results than the state - space methods . 1. INTRODUCTION Toeplitz and Hankel matrices occur ...
... noisy or rank - excessive matrices . Simulation studies bear out the effectiveness of the pro- posed algorithms providing significantly better results than the state - space methods . 1. INTRODUCTION Toeplitz and Hankel matrices occur ...
Page 2366
... noisy estimates of rn ( if the noisy reconstructed | rn | < ʼn for some threshold n set r = 0 ) . Such thresholding strategies are common in signal processing . We also assume we are given noisy observations Yn = kn + Un , 1 ≤ n ≤ N ...
... noisy estimates of rn ( if the noisy reconstructed | rn | < ʼn for some threshold n set r = 0 ) . Such thresholding strategies are common in signal processing . We also assume we are given noisy observations Yn = kn + Un , 1 ≤ n ≤ N ...
Contents
VOLUME I | 1880 |
SPEECH ANALYSIS AND SYNTHESIS | 1881 |
TIMEFREQUENCY ANALYSIS | 1882 |
Copyright | |
29 other sections not shown
Common terms and phrases
Acoust adaptive algorithm amplitude analysis angle antenna applications approach approximation arg max assume asymptotic beamformer blind blind source separation channel clutter coefficients complex components computed consider constraint convergence correlation corresponding covariance matrix Cramér-Rao bound defined denotes density derived detection detector distribution Doppler eigenvalues eigenvectors equation error Figure filter frequency function given H₁ hidden Markov models identification IEEE IEEE Trans input interference iteration Kalman filter least squares linear Markov Markov chain maximum likelihood method minimization modulation multiple nonlinear observation obtained optimal output paper parameter estimation performance phase polynomial problem Proc proposed pulse radar random samples sensor sequence shown Signal Processing simulation SINR sinusoids solution source separation space spatial spectral spectrum stationary statistics stochastic subarray subspace target technique Theorem timate time-frequency time-varying tion transform University unknown values variance vector wavelet zero