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    • 2. 发明申请
    • Sign-sign least means square filter
    • 符号最小的意思是方形滤波器
    • US20050285667A1
    • 2005-12-29
    • US10879417
    • 2004-06-28
    • James JaussiBryan CasperGanesh BalamuraganStephen Mooney
    • James JaussiBryan CasperGanesh BalamuraganStephen Mooney
    • H03B1/00H03H21/00
    • H03H21/0043H03H21/0001H03H2021/0065
    • In some embodiments, an adaptive filter employs two adaptation modes, where during one adaptation mode the adaptive filter is updated only when the received training sample is a first binary value and during the other adaptation mode the adaptive filter is updated only when the received sample is a second binary value. Each adaptation mode provides a set of filter weights, and these two sets of filter weights are averaged to provide an adapted set of filter weights. The use of two adaptation mode allows for a clock boundary in which the digital portion of the filter operates at a lower clock rate than the analog portion. In other embodiments, a filter architecture is described for providing the algebraic signs of the received data samples, important for sign-sign least means square filtering algorithms. In other embodiments, a filter architecture is described in which efficient use is made of voltage-to-current converters so as to achieve a high throughput rate during filtering. Embodiments of the present invention have application to channel equalization.
    • 在一些实施例中,自适应滤波器采用两种适应模式,其中在一个自适应模式期间,只有当所接收的训练样本是第一二进制值时才自动滤波器被更新,并且在另一自适应模式期间,仅当所接收的样本是 第二个二进制值。 每个适配模式提供一组滤波器权重,并且将这两组滤波器权重进行平均以提供一组适用的滤波器权重。 使用两个适配模式允许滤波器的数字部分以比模拟部分更低的时钟速率工作的时钟边界。 在其他实施例中,描述了用于提供接收数据样本的代数符号的滤波器架构,对于符号最小均方滤波算法而言是重要的。 在其他实施例中,描述了一种滤波器架构,其中有效地使用电压 - 电流转换器,以便在滤波期间实现高吞吐率。 本发明的实施例具有对信道均衡的应用。
    • 3. 发明授权
    • Sign-sign least means square filter
    • 符号最小的意思是方形滤波器
    • US07286006B2
    • 2007-10-23
    • US10879417
    • 2004-06-28
    • James E. JaussiBryan K. CasperGanesh BalamuruganStephen R. Mooney
    • James E. JaussiBryan K. CasperGanesh BalamuruganStephen R. Mooney
    • H03K5/00
    • H03H21/0043H03H21/0001H03H2021/0065
    • In some embodiments, an adaptive filter employs two adaptation modes, where during one adaptation mode the adaptive filter is updated only when the received training sample is a first binary value and during the other adaptation mode the adaptive filter is updated only when the received sample is a second binary value. Each adaptation mode provides a set of filter weights, and these two sets of filter weights are averaged to provide an adapted set of filter weights. The use of two adaptation mode allows for a clock boundary in which the digital portion of the filter operates at a lower clock rate than the analog portion. In other embodiments, a filter architecture is described for providing the algebraic signs of the received data samples, important for sign-sign least means square filtering algorithms. In other embodiments, a filter architecture is described in which efficient use is made of voltage-to-current converters so as to achieve a high throughput rate during filtering. Embodiments of the present invention have application to channel equalization.
    • 在一些实施例中,自适应滤波器采用两种适应模式,其中在一个自适应模式期间,只有当所接收的训练样本是第一二进制值时才自动滤波器被更新,并且在另一自适应模式期间,仅当所接收的样本是 第二个二进制值。 每个适配模式提供一组滤波器权重,并且将这两组滤波器权重进行平均以提供一组适用的滤波器权重。 使用两个适配模式允许滤波器的数字部分以比模拟部分更低的时钟速率工作的时钟边界。 在其他实施例中,描述了用于提供接收数据样本的代数符号的滤波器架构,对于符号最小均方滤波算法而言是重要的。 在其他实施例中,描述了一种滤波器架构,其中有效地使用电压 - 电流转换器,以便在滤波期间实现高吞吐率。 本发明的实施例具有对信道均衡的应用。
    • 7. 发明授权
    • Calibration of scale factor in adaptive equalizers
    • 自适应均衡器中比例因子校准
    • US07313181B2
    • 2007-12-25
    • US10660415
    • 2003-09-10
    • Ganesh BalamuruganBryan K. CasperJames E. JaussiStephen R. Mooney
    • Ganesh BalamuruganBryan K. CasperJames E. JaussiStephen R. Mooney
    • H03H7/30G06F17/10
    • H04L25/03038H03H21/0001H03H2021/0065H04L2025/03477
    • An adaptive equalizer finite impulse response (FIR) filter for high-speed communication channels with modest complexity, where the filter is iteratively updated during a training sequence by a circuit performing the update: h(t+1)= h(t)+μ[sgn{d(t)}−sgn{z(t)−Kd(t)}]sgn{ x(t)}, where h(t) is the filter vector representing the filter taps of the FIR filter, x(t) is the data vector representing present and past samples of the received data x(t), d(t) is the desired data used for training, z(t) is the output of the FIR filter, μ determines the memory or window size of the adaptation, and K is a scale factor taking into account practical limitations of the communication channel, receiver, and equalizer. Furthermore, a procedure and circuit structure is provided for calibrating the scale factor K.
    • 用于具有适度复杂度的高速通信信道的自适应均衡器有限脉冲响应(FIR)滤波器,其中通过执行更新的电路在训练序列期间迭代地更新滤波器: h(t + 1 )= h(t)+ mu [sgn {d(t-sgn {z(t)-Kd(t)sgn { x(t)}, 其中 h(t)是表示FIR滤波器的滤波器抽头的滤波器向量, x(t)是表示接收到的当前和过去样本的数据向量 数据x(t),d(t)是用于训练的期望数据,z(t)是FIR滤波器的输出,μ确定适配的存储器或窗口大小,K是考虑到的比例因子 通信信道,接收机和均衡器的实际限制。此外,提供了用于校准比例因子K的过程和电路结构。
    • 8. 发明申请
    • Calibration of scale factor in adaptive equalizers
    • 自适应均衡器中比例因子校准
    • US20050053126A1
    • 2005-03-10
    • US10660415
    • 2003-09-10
    • Ganesh BalamuruganBryan CasperJames JaussiStephen Mooney
    • Ganesh BalamuruganBryan CasperJames JaussiStephen Mooney
    • H03H21/00H04L25/03H03K5/159
    • H04L25/03038H03H21/0001H03H2021/0065H04L2025/03477
    • An adaptive equalizer finite impulse response (FIR) filter for high-speed communication channels with modest complexity, where the filter is iteratively updated during a training sequence by a circuit performing the update: {overscore (h)}(t+1)={overscore (h)}(t)+μ[sgn{d(t)}−sgn{z(t)−Kd(t)}]sgn{{overscore (x)}(t)}, where {overscore (h)}(t) is the filter vector representing the filter taps of the FIR filter, {overscore (x)}(t) is the data vector representing present and past samples of the received data x(t), d(t) is the desired data used for training, z(t) is the output of the FIR filter, μ determines the memory or window size of the adaptation, and K is a scale factor taking into account practical limitations of the communication channel, receiver, and equalizer. Furthermore, a procedure and circuit structure is provided for calibrating the scale factor K.
    • 用于具有适度复杂度的高速通信信道的自适应均衡器有限脉冲响应(FIR)滤波器,其中在训练序列期间通过执行更新的电路迭代地更新滤波器:{overscore(h(t + 1)= {overscore( h(t)+ mu [sgn {d(t)} - sgn {z(t)-Kd(t)}] sgn {{overscore(x(t)},其中{overscore(h(t) 表示FIR滤波器的滤波器抽头的向量{overscore(x(t))是表示接收数据x(t)的当前和过去样本的数据向量,d(t)是用于训练的期望数据,z )是FIR滤波器的输出,mu确定适配的存储器或窗口大小,K是考虑到通信信道,接收机和均衡器的实际限制的比例因子,并且提供了一个过程和电路结构 用于校准比例因子K.