DocumentCode :
2963613
Title :
Speech Compression Using the Matrix Pencil Technique
Author :
Haddad, D.M. ; Sarkar, T.K. ; Noga, A.J.
Author_Institution :
AFRL, IFEC, Rome
fYear :
2006
fDate :
24-27 Sept. 2006
Firstpage :
218
Lastpage :
221
Abstract :
Matrix pencils (MP) facilitate the study of differential equations resulting from oscillating systems. Certain problems in linear ordinary differential equations, such as speech processing, can be represented as the problem of finding a canonical pencil strictly equivalent to a given pencil. The MP is a direct data domain approach to estimate the signal´s poles. The MP depends on only the data and is not a stochastic estimator. This approach has many benefits over a statistical approach. One benefit is that a smaller amount of data could be used to estimate the poles. The second benefit is that it results in a lower variance associated with the estimates of the parameters, which comes close to the Cramer-Rao bound
Keywords :
data compression; differential equations; matrix algebra; parameter estimation; speech coding; Cramer-Rao bound; differential equation; direct data domain approach; matrix pencil technique; oscillating system; parameter estimation; pole estimation; speech compression; Compression algorithms; Damping; Differential equations; Frequency estimation; Laboratories; Phased arrays; Speech enhancement; Speech processing; Stochastic processes; Vocoders;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th
Conference_Location :
Teton National Park, WY
Print_ISBN :
1-4244-3534-3
Type :
conf
DOI :
10.1109/DSPWS.2006.265410
Filename :
4041062
Link To Document :
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