DocumentCode
3015096
Title
Set-membership theory applied to linear prediction analysis of speech
Author
Deller, J.R., Jr. ; Luk, T.C.
Author_Institution
Northeastern University, Boston, MA
Volume
12
fYear
1987
fDate
31868
Firstpage
653
Lastpage
656
Abstract
The theory of set membership (SM) identification is formulated, and applied to linear prediction (LP) analysis of speech. The LP parameters of a simulated vowel are identified as an illustration. The SM strategy results in a significant computational savings due to rejection of data which are informationless in the SM sense.
Keywords
Covariance matrix; Digital signal processing; Equations; Laboratories; Least squares methods; Recursive estimation; Samarium; Speech analysis; Speech processing; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
Type
conf
DOI
10.1109/ICASSP.1987.1169574
Filename
1169574
Link To Document