New parametric formulation for linear predictive coding

S. Radhakrishnan Pillai; Hyun Seok Oh; Ali Akansu

New parametric formulation for linear predictive coding

S. Radhakrishnan Pillai
, Hyun Seok Oh
, Ali Akansu

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English (US)
Pages	1432-1435
Number of pages	4
State	Published - 1994
Externally published	Yes
Event	Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) - Lafayette, LA, USA Duration: Aug 3 1994 → Aug 5 1994

Other

Other	Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2)
City	Lafayette, LA, USA
Period	8/3/94 → 8/5/94

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Cite this

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title = "New parametric formulation for linear predictive coding",

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.",

author = "\{Radhakrishnan Pillai\}, S. and \{Seok Oh\}, Hyun and Ali Akansu",

year = "1994",

language = "English (US)",

pages = "1432--1435",

note = "Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) ; Conference date: 03-08-1994 Through 05-08-1994",

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TY - CONF

T1 - New parametric formulation for linear predictive coding

AU - Radhakrishnan Pillai, S.

AU - Seok Oh, Hyun

AU - Akansu, Ali

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0028757935

UR - https://www.scopus.com/pages/publications/0028757935#tab=citedBy

M3 - Paper

AN - SCOPUS:0028757935

SP - 1432

EP - 1435

T2 - Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2)

Y2 - 3 August 1994 through 5 August 1994

ER -

New parametric formulation for linear predictive coding

Abstract

Other

All Science Journal Classification (ASJC) codes

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