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COMPARISON OF ALGORITHMS
APPENDIX B POWER SPECTRUM DENSITY
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adaptive lattice filter adaptive lattice method adaptive tapped delay AR(p ARMA process ARMA(p.q AUTOCORRELATION ESTIMATION autocorrelation lags autocorrelation matrix backward prediction error block estimation chapter coefficients condition number converges data points diagonal eigenvector EXYW equation FREO Givens rotations Gradient lattice ill-conditioned Jacobi SVD method k=l k least squares solution Levinson algorithm linear prediction Makhoul mean square error minimum mean square model order n-p n-p number of data number of operations numerical stability order forward predictor orthogonal matrix p-th order forward Pisarenko harmonic decomposition positive definite power spectrum density pq pq random process random variables rank one updating rank two updating rank-one recursive SVD method sample sequence Sherman-Morrison formula Signal Processing SINGULAR VALUE DECOMPOSITION sinusoids small singular values smallest eigenvalue spectral estimation stable symmetric Tapped delay line Thompson's method Toeplitz matrix vector weakly stationary white noise X X X xxxxxxxxxx xxxxxxxxxx xxxxxxxxxx YW equation