Title :
Advantages of a Givens rotation approach to temporally recursive linear prediction analysis of speech
Author :
Deller, J.R., Jr. ; Picache, G.P.
Author_Institution :
Dept. of Electr. Eng. & Syst. Sci., Michigan State Univ., East Lansing, MI, USA
fDate :
3/1/1989 12:00:00 AM
Abstract :
Some useful features of a temporally recursive Givens rotation method in linear prediction analysis of speech and other signals are considered. Among them are convenient computation of the Itakura distance, windowed and exponentially adaptive estimation, lower rank estimation based on singular value decomposition, and set-membership identification
Keywords :
filtering and prediction theory; speech analysis and processing; Givens rotation; adaptive estimation; lower rank estimation; set-membership identification; singular value decomposition; temporally recursive linear prediction analysis of speech; Adaptive estimation; Computer architecture; Covariance matrix; Equations; Least squares methods; Signal analysis; Signal processing algorithms; Singular value decomposition; Speech analysis; Speech processing;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
