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    • 3. 发明授权
    • Systems and methods for selecting tones for far-end cross talk mitigation
    • 用于选择音调以进行远端串扰减轻的系统和方法
    • US08204211B2
    • 2012-06-19
    • US12431878
    • 2009-04-29
    • Amitkumar MahadevanPatrick DuvautLaurent Francis Alloin
    • Amitkumar MahadevanPatrick DuvautLaurent Francis Alloin
    • H04M1/00H04M9/00H04M1/76
    • H04B3/32
    • Systems and methods are described for selecting tones for far-end crosstalk (FEXT) mitigation. In particular, systems and methods are described for performing far-end crosstalk (FEXT) mitigation within a digital subscriber line (xDSL) system. One embodiment is a method that comprises determining a first set of function values relating to a per-tone signal-to-noise ratio (SNR) for a user among a plurality of users for a number of tones, wherein the number of tones is less than or equal to a total number of tones available for transmission. The method further comprises estimating coefficients for performing FEXT mitigation for the number of tones, performing FEXT mitigation on the number of tones based on the estimated coefficients, and performing FEXT mitigation on a selected group of tones from among the number of tones, wherein the selected group of tones is less than or equal to the number tones.
    • 描述了用于选择用于远端串扰(FEXT)减轻的音调的系统和方法。 特别地,描述了用于在数字用户线(xDSL)系统内执行远端串扰(FEXT)减轻的系统和方法。 一个实施例是一种方法,其包括确定与多个用户之间的用户对于多个音调的用户的每音调信噪比(SNR)有关的第一功能值集合,其中,音调数量较少 超过或等于可用于传输的总音数。 该方法还包括估计用于对音调数执行FEXT减轻的系数,基于估计的系数对音调数执行FEXT减轻,以及从所选择的音数中对所选择的音调组执行FEXT减轻,其中所选择的 一组音调小于或等于数字音。
    • 5. 发明授权
    • Systems and methods for implementing a multi-sensor receiver in a DSM3 environment
    • 用于在DSM3环境中实现多传感器接收器的系统和方法
    • US08576690B2
    • 2013-11-05
    • US13051906
    • 2011-03-18
    • Laurent PierruguesLaurent Francis AlloinAmitkumar Mahadevan
    • Laurent PierruguesLaurent Francis AlloinAmitkumar Mahadevan
    • H04J1/12
    • H04B1/1027H04B3/32H04L25/03012H04L25/03159
    • In accordance with one embodiment, a method is implemented in a vectored system for improving a signal-to-noise ratio (SNR) of a far end transmitted signal on a victim line in the system. The method comprises mitigating, by the vectored system, self-induced far-end crosstalk (self-FEXT) on the victim line based on self-FEXT mitigation coefficients and receiving, by a second sensor, information relating to at least one of: self-FEXT of the vectored system, external noise, and the far end transmitted signal. The method further comprises learning, at the second sensor, coefficients relating to self-FEXT coupling into the second sensor and removing self-FEXT from the second sensor based on the learned coefficients. Upon removal of self-FEXT from the second sensor, a linear combiner configured to combine information relating to the victim line and the second line is learned. The method further comprises applying the learned linear combiner and readjusting the self-FEXT mitigation coefficients to remove any residual self-FEXT on the victim line after application of the learned linear combiner.
    • 根据一个实施例,在矢量系统中实现一种方法,用于改善系统中受害线路上的远端发射信号的信噪比(SNR)。 该方法包括通过矢量系统减轻基于自FEXT减轻系数的受害线路上的自身诱发的远端串扰(self-FEXT),并且由第二传感器接收与以下至少一个相关的信息:自身 -OFXT的矢量系统,外部噪声和远端传输信号。 该方法还包括在第二传感器处学习与第二传感器的自FEXT耦合有关的系数,并且基于所学习的系数从第二传感器中去除自FEXT。 在从第二传感器移除自身FEXT时,学习用于组合与受害线和第二线有关的信息的线性组合器。 该方法还包括应用所学习的线性组合器并且重新调整自FEXT缓解系数以在施加学习的线性组合器之后去除受害线上的任何残余自FEXT。
    • 6. 发明授权
    • Transport frame structure for retransmission in DSL
    • 用于DSL中重传的传输帧结构
    • US08463955B2
    • 2013-06-11
    • US12645753
    • 2009-12-23
    • Julien D. PonsMassimo SorbaraLaurent Francis AlloinRavindra M. Lambi
    • Julien D. PonsMassimo SorbaraLaurent Francis AlloinRavindra M. Lambi
    • G06F3/00
    • H04M11/062H04L1/0045H04L1/009H04L1/18
    • Included are embodiments for retransmission in a digital subscriber line environment. At least one embodiment of a method includes framing data into transport frames, each transport frame carrying payload data that is viewed differently according to the computing layer in which it is transported; transporting the transport frames over a first computing layer, the payload data of each transport frame corresponding to an integer number Q of elementary cells of the first computing layer, an integer number of header bytes containing information specific to the transport frame, and an integer number of padding bytes; and transporting the transport frames over a second computing layer, the payload data content of each transport frame corresponding to payload data of an integer number M of elementary cells of the second computing layer.
    • 包括在数字用户线环境中进行重传的实施例。 方法的至少一个实施例包括将数据成帧到传输帧中,每个传输帧承载根据其被传送的计算层不同地观看的有效载荷数据; 在第一计算层上传输传输帧,每个传输帧的有效载荷数据对应于第一计算层的基本单元的整数Q,包含传输帧特有的信息的整数个头字节,以及整数 的填充字节; 以及通过第二计算层传送所述传输帧,每个传输帧的有效载荷数据内容对应于所述第二计算层的基本单元的整数M的有效载荷数据。
    • 7. 发明申请
    • Systems and Methods for Implementing a Multi-Sensor Receiver in a DSM3 Environment
    • 在DSM3环境中实现多传感器接收器的系统和方法
    • US20110235759A1
    • 2011-09-29
    • US13051906
    • 2011-03-18
    • Laurent PierruguesLaurent Francis AlloinAmitkumar Mahadevan
    • Laurent PierruguesLaurent Francis AlloinAmitkumar Mahadevan
    • H04L25/08
    • H04B1/1027H04B3/32H04L25/03012H04L25/03159
    • In accordance with one embodiment, a method is implemented in a vectored system for improving a signal-to-noise ratio (SNR) of a far end transmitted signal on a victim line in the system. The method comprises mitigating, by the vectored system, self-induced far-end crosstalk (self-FEXT) on the victim line based on self-FEXT mitigation coefficients and receiving, by a second sensor, information relating to at least one of: self-FEXT of the vectored system, external noise, and the far end transmitted signal. The method further comprises learning, at the second sensor, coefficients relating to self-FEXT coupling into the second sensor and removing self-FEXT from the second sensor based on the learned coefficients. Upon removal of self-FEXT from the second sensor, a linear combiner configured to combine information relating to the victim line and the second line is learned. The method further comprises applying the learned linear combiner and readjusting the self-FEXT mitigation coefficients to remove any residual self-FEXT on the victim line after application of the learned linear combiner.
    • 根据一个实施例,在矢量系统中实现一种方法,用于改善系统中受害线路上的远端发射信号的信噪比(SNR)。 该方法包括通过矢量系统减轻基于自FEXT减轻系数的受害线上的自身诱发的远端串扰(self-FEXT),并且由第二传感器接收与以下至少一个相关的信息:自身 -OFXT的矢量系统,外部噪声和远端传输信号。 该方法还包括在第二传感器处学习与第二传感器的自FEXT耦合有关的系数,并且基于所学习的系数从第二传感器中去除自FEXT。 在从第二传感器移除自身FEXT时,学习用于组合与受害线和第二线有关的信息的线性组合器。 该方法还包括应用所学习的线性组合器,并且在应用所学习的线性组合器之后重新调整自FEXT缓解系数以去除所述受害线上的任何剩余自FEXT。