Part of the book series:Communication and Cybernetics ((COMMUNICATION,volume 12))
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Abstract
In the previous chapter, a number of linear prediction formulations were developed Although different formulations may have appeared to be specifying different problems, it was shown that they all led to the same problem, that of minimizing an expression of the form
wherea0 = 1, or equivalently, solving the simultaneous equations
for the coefficientsai. The coefficientscij were obtained from a correlation of the input data sequence
.In the PARCOR approach of Section 2.6,α,cij, andai do not explicitly appear, but theai terms are implicit in the PARCOR lattice since the overall structure definesA (z). In addition,α of (3.1) is minimized by the PARCOR approach, for it is identical toαM of (2.47).
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Authors and Affiliations
Speech Communications Research Laboratory, Inc., 93109, Santa Barbara, California, USA
John D. Markel & Augustine H. Gray Jr.
Department of Electrical Engineering and Computer Science, University of California Santa Barbara, 93106, California, USA
Augustine H. Gray Jr.
- John D. Markel
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- Augustine H. Gray Jr.
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© 1976 Springer-Verlag Berlin Heidelberg
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Markel, J.D., Gray, A.H. (1976). Solutions and Properties. In: Linear Prediction of Speech. Communication and Cybernetics, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-66286-7_3
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