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