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Acoustics, Speech and Signal Processing, IEEE Transactions on, Vol. 25, No. 5. (October 1977), pp. 423-428, doi:10.1109/tassp.1977.1162979 Key: citeulike:11863472
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A class of stable and efficient recursive lattice methods for linear prediction is presented. These methods guarantee the stability of the all-pole filter, with or without windowing of the signal, with finite wordlength computations, and at a computational cost comparable to the traditional autocorrelation and covariance methods. In addition, for data-compression purposes, quantization of the reflection coefficients can be accomplished within the recursion, if desired.
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