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1.发明专利
公开(公告)号：JP2003050600A
公开(公告)日：2003-02-21
申请号：JP2002140337
申请日：2002-05-15
Applicant: Qualcomm Inc , クゥアルコム・インコーポレイテッド
Inventor： GARDNER WILLIAM R , MANJUNATH SHARATH , MONTA PETER
CPC classification number: G10L19/07
Abstract: PROBLEM TO BE SOLVED: To provide a method and system for generating and encoding line spectrum square roots.
SOLUTION: The method of encoding linear prediction coefficient data is taught. The linear prediction coefficient data is converted to line spectrum cosine data (103). The line spectrum cosine data is used for generating two recursively defined vectors (104). The recursively defined vectors are used to calculate one set of sensitivity self-correlation values (106a-106N) and one set of sensitivity crosscorreations (107a-107N). The line spectrum cosine values are used for calculating one set of the line spectrum square roots.
COPYRIGHT: (C)2003,JPOAbstract translation: 要解决的问题：提供用于生成和编码线谱平方根的方法和系统。 解决方案：教导编码线性预测系数数据的方法。 线性预测系数数据被转换为线谱余弦数据（103）。 线谱余弦数据用于产生两个递归定义的矢量（104）。 递归定义的向量用于计算一组灵敏度自相关值（106a-106N）和一组灵敏度交叉变量（107a-107N）。 线谱余弦值用于计算一组线谱平方根。
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公开(公告)号：MX9800851A
公开(公告)日：1998-04-30
申请号：MX9800851
申请日：1996-08-01
Applicant: QUALCOMM INC
Inventor： GARDNER WILLIAM R , MONTA PETER , MANJUNATH SHARATH
Abstract: La presente invencion enseña un método para la codificacion de datos de coeficiente predictivo lineal. La presente invencion transforma el dato de coeficiente predictivo lineal en un dato de coseno de espectro de línea (103). El dato de coseno de espectro de línea se utiliza para generar dos vectores definidos de manera recurrente (104). Los vectores definidos de manera recurrente se utilizan para calcular un conjunto de valores de autocorreccion de sensibilidad (106a-16N) y un conjunto de correlacion de cruce de sensibilidad (107a-107N). Los valores de coseno de espectro de línea se utilizan para calcular un conjunto de valores de raíz cuadrada de espectro de línea.
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公开(公告)号：FI980207A
公开(公告)日：1998-03-31
申请号：FI980207
申请日：1998-01-29
Applicant: QUALCOMM INC
Inventor： GARDNER WILLIAM R , MONTA PETER , MANJUNATH SHARATH
Abstract: A novel and improved method and apparatus for encoding line predictive coding (LPC) data in a speech compression system using line spectral square root values is disclosed. A novel and computationally efficient procedure for determining the set of quantization sensitivities for the line spectral square root values is disclosed, which results in a computationally efficient error measure for use in vector quantization of the line spectral square root values. A novel method of weighting the quantization error is disclosed, which accumulates the quantization error in each line spectral square root value and weights that error by the sensitivity of that line spectral square root value.\!
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公开(公告)号：DK0842509T3
公开(公告)日：2002-10-07
申请号：DK96926869
申请日：1996-08-01
Applicant: QUALCOMM INC
Inventor： GARDNER WILLIAM R , MANJUNATH SHARATH , MONTA PETER
Abstract: A novel and improved method and apparatus for encoding line predictive coding (LPC) data in a speech compression system using line spectral square root values is disclosed. A novel and computationally efficient procedure for determining the set of quantization sensitivities for the line spectral square root values is disclosed, which results in a computationally efficient error measure for use in vector quantization of the line spectral square root values. A novel method of weighting the quantization error is disclosed, which accumulates the quantization error in each line spectral square root value and weights that error by the sensitivity of that line spectral square root value.\!
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公开(公告)号：AT218740T
公开(公告)日：2002-06-15
申请号：AT96926869
申请日：1996-08-01
Applicant: QUALCOMM INC
Inventor： GARDNER WILLIAM R , MANJUNATH SHARATH , MONTA PETER
Abstract: A novel and improved method and apparatus for encoding line predictive coding (LPC) data in a speech compression system using line spectral square root values is disclosed. A novel and computationally efficient procedure for determining the set of quantization sensitivities for the line spectral square root values is disclosed, which results in a computationally efficient error measure for use in vector quantization of the line spectral square root values. A novel method of weighting the quantization error is disclosed, which accumulates the quantization error in each line spectral square root value and weights that error by the sensitivity of that line spectral square root value.\!
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Patent Agency Ranking
公开(公告)号：CA2228172A1
公开(公告)日：1997-02-13
申请号：CA2228172
申请日：1996-08-01
Applicant: QUALCOMM INC
Inventor： MONTA PETER , GARDNER WILLIAM R , MANJUNATH SHARATH
Abstract: The present invention teaches of a method of encoding linear predictive coefficient data. The present invention transforms the linear predictive coefficient data into line spectral cosine data (103). The line spectral cosine data is used to generate two recursively defined vectors (104). The recursively defined vectors are used to compute a set of sensitivity autocorrelation values (106a-106N) and a set of sensitivity cross correlation (107a-107N). The line spectral cosine values are used to compute a set of line spectral square root values.
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公开(公告)号：DE69621620T2
公开(公告)日：2003-02-06
申请号：DE69621620
申请日：1996-08-01
Applicant: QUALCOMM INC
Inventor： GARDNER R , MANJUNATH SHARATH , MONTA PETER
Abstract: A novel and improved method and apparatus for encoding line predictive coding (LPC) data in a speech compression system using line spectral square root values is disclosed. A novel and computationally efficient procedure for determining the set of quantization sensitivities for the line spectral square root values is disclosed, which results in a computationally efficient error measure for use in vector quantization of the line spectral square root values. A novel method of weighting the quantization error is disclosed, which accumulates the quantization error in each line spectral square root value and weights that error by the sensitivity of that line spectral square root value.\!
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公开(公告)号：AU6688596A
公开(公告)日：1997-02-26
申请号：AU6688596
申请日：1996-08-01
Applicant: QUALCOMM INC
Inventor： GARDNER WILLIAM R , MANJUNATH SHARATH , MONTA PETER
Abstract: A novel and improved method and apparatus for encoding line predictive coding (LPC) data in a speech compression system using line spectral square root values is disclosed. A novel and computationally efficient procedure for determining the set of quantization sensitivities for the line spectral square root values is disclosed, which results in a computationally efficient error measure for use in vector quantization of the line spectral square root values. A novel method of weighting the quantization error is disclosed, which accumulates the quantization error in each line spectral square root value and weights that error by the sensitivity of that line spectral square root value.\!
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公开(公告)号：ES2176478T3
公开(公告)日：2002-12-01
申请号：ES96926869
申请日：1996-08-01
Applicant: QUALCOMM INC
Inventor： GARDNER WILLIAM R , MANJUNATH SHARATH , MONTA PETER
Abstract: A novel and improved method and apparatus for encoding line predictive coding (LPC) data in a speech compression system using line spectral square root values is disclosed. A novel and computationally efficient procedure for determining the set of quantization sensitivities for the line spectral square root values is disclosed, which results in a computationally efficient error measure for use in vector quantization of the line spectral square root values. A novel method of weighting the quantization error is disclosed, which accumulates the quantization error in each line spectral square root value and weights that error by the sensitivity of that line spectral square root value.\!
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公开(公告)号：PT842509E
公开(公告)日：2002-10-31
申请号：PT96926869
申请日：1996-08-01
Applicant: QUALCOMM INC
Inventor： GARDNER WILLIAM R , MANJUNATH SHARATH , MONTA PETER
Abstract: A novel and improved method and apparatus for encoding line predictive coding (LPC) data in a speech compression system using line spectral square root values is disclosed. A novel and computationally efficient procedure for determining the set of quantization sensitivities for the line spectral square root values is disclosed, which results in a computationally efficient error measure for use in vector quantization of the line spectral square root values. A novel method of weighting the quantization error is disclosed, which accumulates the quantization error in each line spectral square root value and weights that error by the sensitivity of that line spectral square root value.\!
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