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
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;
Conference_Titel :
Multimedia, Seventh IEEE International Symposium on
Print_ISBN :
0-7695-2489-3
DOI :
10.1109/ISM.2005.23
