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公开(公告)号：AT329347T
公开(公告)日：2006-06-15
申请号：AT03745516
申请日：2003-02-14
Applicant: MOTOROLA INC
Inventor： RAMABADRAN TENKASI V , SMITH AARON M , JASIUK MARK A
Abstract: A system or method for modeling a signal, such as a speech signal, in which harmonic frequencies and amplitudes are identified and the harmonic magnitudes are interpolated to obtain spectral magnitudes at a set of fixed frequencies. An inverse transform is applied to the spectral magnitudes to obtain a pseudo auto-correlation sequence, from which linear prediction coefficients are calculated. From the linear prediction coefficients, model harmonic magnitudes are generated by sampling the spectral envelope defined by the linear prediction coefficients. A set of scale factors are then calculated as the ratio of the harmonic magnitudes to the model harmonic magnitudes and interpolated to obtain a second set of scale factors at the set of fixed frequencies. The spectral envelope magnitudes at the set of fixed frequencies are multiplied by the second set of scale factors to obtain new spectral magnitudes and the process is iterated to obtain final linear prediction coefficients. The signal is modeled by the linear prediction coefficients.
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公开(公告)号：AU2003216276A1
公开(公告)日：2003-10-13
申请号：AU2003216276
申请日：2003-02-14
Applicant: MOTOROLA INC
Inventor： RAMABADRAN TENKASI V , SMITH AARON M , JASIUK MARK A
Abstract: A system or method for modeling a signal, such as a speech signal, in which harmonic frequencies and amplitudes are identified and the harmonic magnitudes are interpolated to obtain spectral magnitudes at a set of fixed frequencies. An inverse transform is applied to the spectral magnitudes to obtain a pseudo auto-correlation sequence, from which linear prediction coefficients are calculated. From the linear prediction coefficients, model harmonic magnitudes are generated by sampling the spectral envelope defined by the linear prediction coefficients. A set of scale factors are then calculated as the ratio of the harmonic magnitudes to the model harmonic magnitudes and interpolated to obtain a second set of scale factors at the set of fixed frequencies. The spectral envelope magnitudes at the set of fixed frequencies are multiplied by the second set of scale factors to obtain new spectral magnitudes and the process is iterated to obtain final linear prediction coefficients. The signal is modeled by the linear prediction coefficients.
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公开(公告)号：DE60305907D1
公开(公告)日：2006-07-20
申请号：DE60305907
申请日：2003-02-14
Applicant: MOTOROLA INC
Inventor： RAMABADRAN TENKASI V , SMITH AARON M , JASIUK MARK A
Abstract: A system or method for modeling a signal, such as a speech signal, in which harmonic frequencies and amplitudes are identified and the harmonic magnitudes are interpolated to obtain spectral magnitudes at a set of fixed frequencies. An inverse transform is applied to the spectral magnitudes to obtain a pseudo auto-correlation sequence, from which linear prediction coefficients are calculated. From the linear prediction coefficients, model harmonic magnitudes are generated by sampling the spectral envelope defined by the linear prediction coefficients. A set of scale factors are then calculated as the ratio of the harmonic magnitudes to the model harmonic magnitudes and interpolated to obtain a second set of scale factors at the set of fixed frequencies. The spectral envelope magnitudes at the set of fixed frequencies are multiplied by the second set of scale factors to obtain new spectral magnitudes and the process is iterated to obtain final linear prediction coefficients. The signal is modeled by the linear prediction coefficients.
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公开(公告)号：DE60305907T2
公开(公告)日：2007-02-01
申请号：DE60305907
申请日：2003-02-14
Applicant: MOTOROLA INC
Inventor： RAMABADRAN TENKASI V , SMITH AARON M , JASIUK MARK A
Abstract: A system or method for modeling a signal, such as a speech signal, in which harmonic frequencies and amplitudes are identified and the harmonic magnitudes are interpolated to obtain spectral magnitudes at a set of fixed frequencies. An inverse transform is applied to the spectral magnitudes to obtain a pseudo auto-correlation sequence, from which linear prediction coefficients are calculated. From the linear prediction coefficients, model harmonic magnitudes are generated by sampling the spectral envelope defined by the linear prediction coefficients. A set of scale factors are then calculated as the ratio of the harmonic magnitudes to the model harmonic magnitudes and interpolated to obtain a second set of scale factors at the set of fixed frequencies. The spectral envelope magnitudes at the set of fixed frequencies are multiplied by the second set of scale factors to obtain new spectral magnitudes and the process is iterated to obtain final linear prediction coefficients. The signal is modeled by the linear prediction coefficients.
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Patent Agency Ranking
公开(公告)号：AU2002340308A1
公开(公告)日：2003-06-10
申请号：AU2002340308
申请日：2002-10-28
Applicant: MOTOROLA INC
Inventor： COX GREGORY W , SMITH AARON M
Abstract: A router 104 can automatically self assess which of its interfaces are coupled to an active communication link and then identify which interface needs a new network address prefix. Existing and available network address prefixes can be utilized to automatically self configure interfaces as appropriate. The interfaces and their corresponding communication links that require a new address prefix can be flagged for subsequent attention.
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公开(公告)号：ES2266843T3
公开(公告)日：2007-03-01
申请号：ES03745516
申请日：2003-02-14
Applicant: MOTOROLA INC
Inventor： RAMABADRAN TENKASI V , SMITH AARON M , JASIUK MARK A
Abstract: Un método para modelar una señal representada por una trama de muestras que comprenda las etapas de: a. Identificar (106) una pluralidad de frecuencias armónicas de la señal; b. Identificar (106) una pluralidad de magnitudes de armónicos correspondientes a las magnitudes espectrales de la señal en la pluralidad de frecuencias armónicas; c. Interpolar (110) la pluralidad de magnitudes de los armónicos para obtener una pluralidad de magnitudes espectrales en un conjunto de frecuencias fijas; d. Transformar inversamente (112) la pluralidad de magnitudes espectrales para obtener una pseudo secuencia de auto-correlación; e. Calcular (114) los coeficientes de predicción lineal a partir de la pseudo secuencia de auto-correlación; f. Calcular (118) las magnitudes de los armónicos del modelo mediante el muestreo de una envolvente espectral definida por los coeficientes de predicción lineal; g. Calcular (120) un primer conjunto de factores de escala como el cociente de las magnitudes de los armónicosy las magnitudes de los armónicos del modelo; h. Interpolar (122) el primer conjunto de factores de escala para obtener un segundo conjunto de factores de escala en el conjunto de frecuencias fijas; i. Calcular (124) las magnitudes espectrales del modelo en el conjunto de frecuencias fijas muestreando la envolvente espectral definida por los coeficientes de predicción lineal en el conjunto de frecuencias fijas; j. Multiplicar (126) las magnitudes espectrales del modelo en el conjunto de frecuencias fijas por el segundo conjunto de factores de escala para obtener una nueva pluralidad de magnitudes espectrales; k. Transformar de manera inversa (112) la nueva pluralidad de magnitudes espectrales para obtener una nueva pseudo secuencia de auto-correlación; y l. Calcular (114) nuevos coeficientes de predicción lineal a partir de la nueva pseudo secuencia de autocorrelación, donde la señal se modela por los nuevos coeficientes de predicción lineal.
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7.发明申请A SYSTEM AND METHOD FOR PROVIDING SPLIT VECTOR QUANTIZATION DATA CODING 审中-公开一种用于提供分散矢量量化数据编码的系统和方法
公开(公告)号：WO9941736A3
公开(公告)日：1999-10-21
申请号：PCT/US9902431
申请日：1999-02-04
Applicant: MOTOROLA INC
Inventor： ASHLEY JAMES PATRICK , PENG WEIMIN , JASIUK MARK A , SMITH AARON M
Abstract: A method and system for providing split vector quantization for use in determining constrained ordered set values, such as line spectrum pair parameters to determine spectral parameters in a data compression system, utilizes multiple codebooks (22a-22c) containing delta coded constrained ordered set values that are normalized to an upper and lower bound. An LSP reconstructor (34) reconstructs received spectral parameters to decode data, such as speech, based on the normalized delta quantization data of line spectrum pair parameters obtained from the split vector reconstruction codebooks (22a-22c). The LSP reconstructor (34) dynamically generates line spectrum pair parameters based on the normalized delta quantization data. In another embodiment, instead of storing the absolute value of the line spectrum pair parameters in segmented codebooks, the combination of at least two absolute value vectors and at least one normalized delta quantization vector is used for spectral quantization.
Abstract translation: 一种用于提供用于确定约束有序集合值（例如用于确定数据压缩系统中的频谱参数的线谱对参数）的分割矢量量化的方法和系统利用包含增量编码约束有序集合值的多个码本（22a-22c） 被归一化为上限和下限。 基于从分割矢量重建码本（22a-22c）获得的线谱对参数的归一化的量化数据，LSP重构器（34）重建接收的频谱参数以对诸如语音的数据进行解码。 LSP重建器（34）基于归一化的量化数据动态地生成线路频谱对参数。 在另一个实施例中，代替在分段码本中存储线谱对参数的绝对值，而不是将至少两个绝对值向量和至少一个归一化的量化矢量的组合用于频谱量化。
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8.发明公开A SYSTEM AND METHOD FOR PROVIDING SPLIT VECTOR QUANTIZATION DATA CODING 审中-公开系统和方法用于提供向量段DATA CODING QUANTIFIKATIONS
公开(公告)号：EP1062657A4
公开(公告)日：2004-10-06
申请号：EP99905742
申请日：1999-02-04
Applicant: MOTOROLA INC
Inventor： ASHLEY JAMES PATRICK , PENG WEIMIN , JASIUK MARK A , SMITH AARON M
Abstract: A method and system for providing split vector quantization for use in determining constrained ordered set values, such as line spectrum pair parameters to determine spectral parameters in a data compression system, utilizes multiple codebooks (22a-22c) containing delta coded constrained ordered set values that are normalized to an upper and lower bound. An LSP reconstructor (34) reconstructs received spectral parameters to decode data, such as speech, based on the normalized delta quantization data of line spectrum pair parameters obtained from the split vector reconstruction codebooks (22a-22c). The LSP reconstructor (34) dynamically generates line spectrum pair parameters based on the normalized delta quantization data. In another embodiment, instead of storing the absolute value of the line spectrum pair parameters in segmented codebooks, the combination of at least two absolute value vectors and at least one normalized delta quantization vector is used for spectral quantization.
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公开(公告)号：EP1495465A4
公开(公告)日：2005-05-18
申请号：EP03745516
申请日：2003-02-14
Applicant: MOTOROLA INC
Inventor： RAMABADRAN TENKASI V , SMITH AARON M , JASIUK MARK A
CPC classification number: G10L19/06 , G10L19/087
Abstract: A system or method for modeling a signal, such as a speech signal, wherein harmonic frequencies and amplitudes are identified (106) and the harmonic magnitudes are interpolated (110) to obtain spectral magnitudes at a set of fixed frequencies. An inverse transform is applied (112) to the spectral magnitudes to obtain a pseudo auto-correlation sequence, from which linear prediction coefficients are calculated (114). From the linear prediction coefficients, model harmonic magnitudes are generated by sampling the spectral envelope (118) defined by the linear prediction coefficients. A set of scale factors are then calculated (120) as the ratio of the harmonic magnitudes to the model harmonic magnitudes and interpolated to obtain a second set of scale factors (122) at the set of fixed frequencies. The spectral envelope magnitudes at the set of fixed frequencies (124) are multiplied by the second set of scale factors (126) to obtain new spectral magnitudes and the process is iterated to obtain final linear prediction coefficients.
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