DocumentCode :
3201707
Title :
Efficient implementation of linear predictive coding algorithms
Author :
Nagarajan, Sasi ; Sankar, Ravi
Author_Institution :
Dept. of Electr. Eng., Univ. of South Florida, Tampa, FL
fYear :
1998
fDate :
24-26 Apr 1998
Firstpage :
69
Lastpage :
72
Abstract :
In linear predictive coding (LPC) analysis, the linear predictors are computed using the classical Levinson-Durbin algorithm. But the Levinson-Durbin algorithm is a processing bottleneck as it involves the addition of inner products in the calculation of the reflection coefficients. This paper develops and reports on modifications to the algorithm used in various speech processing and coding applications for efficient implementations
Keywords :
linear predictive coding; speech coding; LPC analysis; Levinson-Durbin algorithm; adaptive prediction; digital signal processing; inner products; linear predictive coding algorithms; linear predictors; processing bottleneck; reflection coefficients; speech coding; speech processing; Algorithm design and analysis; Autocorrelation; Digital signal processing; Equations; Linear predictive coding; Mathematical model; Prediction algorithms; Reflection; Signal processing algorithms; Speech analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southeastcon '98. Proceedings. IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4391-3
Type :
conf
DOI :
10.1109/SECON.1998.673294
Filename :
673294
Link To Document :
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