DocumentCode
2868609
Title
A two-mode structure of adaptive linear predictor
Author
Yeh, Hen-geul ; Tu, Hsuan Hao
Author_Institution
Dept. of Electron. Eng., California State Univ., Long Beach, CA, USA
fYear
2005
fDate
12-14 Dec. 2005
Abstract
In this paper, we investigate a two-mode structure of adaptive linear predictor with application to speech coding. Initially, this structure has independently adapting low-order cascaded stages that use forward-backward linear prediction algorithm. Later, it switches to a regular transversal structure using least mean square (LMS) algorithm. This method enjoys fast convergence rate at the beginning and accurate tracking of inputs in the steady state.
Keywords
audio coding; least mean squares methods; speech processing; adaptive linear predictor; forward-backward linear prediction algorithm; least mean square algorithm; speech coding; Convergence; Eigenvalues and eigenfunctions; Equations; Filters; Least squares approximation; Predictive models; Signal processing algorithms; Speech coding; Steady-state; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia, Seventh IEEE International Symposium on
Print_ISBN
0-7695-2489-3
Type
conf
DOI
10.1109/ISM.2005.23
Filename
1565916
Link To Document