Recursive linear prediction using OBE identification with automatic bound estimation

Author

Deller, J.R., Jr. ; Lin, T.M. ; Nayeri, M.

Author_Institution

Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA

Volume

2

fYear

1997

fDate

21-24 Apr 1997

Firstpage

1279

Abstract

Application of set-membership (SM) identification to real-time speech processing is made possible by the optimal bounding ellipsoid algorithm with automatic bound estimation (OPE-APE) that blindly deduces model-input bounds. To date, lack of any tenable approach to estimating bounds in speech models has rendered these interesting new SM methods impractical. OBE-ABE is consistently convergent, offers significant computational advantages, and provides a set of feasible solutions in finite time

Keywords

optimisation; parameter estimation; prediction theory; recursive estimation; speech processing; OBE identification; automatic bound estimation; finite time solutions; model-input bounds; optimal bounding ellipsoid algorithm; real-time speech processing; recursive linear prediction; set membership identification; speech models; Adaptive signal processing; Ellipsoids; Noise robustness; Parametric statistics; Recursive estimation; Samarium; Signal processing algorithms; Speech enhancement; Speech processing; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.596179

Filename

596179