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1.发明申请METHOD AND APPARATUS FOR GENERATING AND ENCODING LINE SPECTRAL SQUARE ROOTS 审中-公开用于生成和编码线光谱平台的方法和装置
公开(公告)号：WO1997005602A1
公开(公告)日：1997-02-13
申请号：PCT/US1996012658
申请日：1996-08-01
Applicant: QUALCOMM INCORPORATED
Inventor： QUALCOMM INCORPORATED , GARDNER, William, R. , MANJUNATH, Sharath , MONTA, Peter
IPC: G10L09/14
CPC classification number: G10L19/07
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.
Abstract translation: 本发明教导了一种编码线性预测系数数据的方法。 本发明将线性预测系数数据变换为线谱余弦数据（103）。 线谱余弦数据用于生成两个递归定义的向量（104）。 递归定义的向量用于计算一组灵敏度自相关值（106a-106N）和一组灵敏度互相关（107a-107N）。 线谱余弦值用于计算一组线谱平方根值。
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2.发明授权METHOD AND APPARATUS FOR GENERATING AND ENCODING LINE SPECTRAL SQUARE ROOTS 失效方法和装置产生和编码LINIENSPEKTRALWURZELN
公开(公告)号：EP0842509B1
公开(公告)日：2002-06-05
申请号：EP96926869.7
申请日：1996-08-01
Applicant: QUALCOMM INCORPORATED
Inventor： GARDNER, William, R. , MANJUNATH, Sharath , MONTA, Peter
IPC: G10L19/06
CPC classification number: G10L19/07
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3.发明公开METHOD AND APPARATUS FOR GENERATING AND ENCODING LINE SPECTRAL SQUARE ROOTS 失效方法和装置产生和编码LINIENSPEKTRALWURZELN
公开(公告)号：EP0842509A1
公开(公告)日：1998-05-20
申请号：EP96926869.0
申请日：1996-08-01
Applicant: QUALCOMM INCORPORATED
Inventor： GARDNER, William, R. , MANJUNATH, Sharath , MONTA, Peter
CPC classification number: G10L19/07
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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