DocumentCode
2768446
Title
A new parametric formulation for linear predictive coding
Author
Pillai, S. Radhakrishnan ; Oh, Hyun Seok ; Akansu, Ali
Author_Institution
Dept. of Electr. Eng., James Cook Univ. of North Queensland, Townsville, Qld., Australia
Volume
2
fYear
1994
fDate
3-5 Aug 1994
Firstpage
1432
Abstract
This paper introduces a new parametric formulation to linear predictive coding (LPC). Instead of the usual linear prediction filter coefficients, a new scheme similar to the line spectral frequencies (LSF), that is insensitive to quantization is proposed. However, in the present case, unlike the LSF scheme, an additional positive weighting factor gives extra freedom for coding. This new representation for LPC modeling is shown to be always stable under quantization
Keywords
linear predictive coding; quantisation (signal); spectral analysis; speech coding; line spectral frequencies; linear predictive coding; parametric formulation; positive weighting factor; quantization insensitivity; quantization stability; Australia; Eigenvalues and eigenfunctions; Frequency; Linear predictive coding; Mean square error methods; Nonlinear filters; Polynomials; Quantization; Robustness; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location
Lafayette, LA
Print_ISBN
0-7803-2428-5
Type
conf
DOI
10.1109/MWSCAS.1994.519076
Filename
519076
Link To Document