Invention Application
WO2005027446A1 ADAPTIVE EQUALIZATION USING A CONDITIONAL UPDATE SIGN-SIGN LEAST MEAN SQUARE ALGORITHM
审中-公开
使用条件更新的自适应均衡签名最小均方算法
- Patent Title: ADAPTIVE EQUALIZATION USING A CONDITIONAL UPDATE SIGN-SIGN LEAST MEAN SQUARE ALGORITHM
- Patent Title (中): 使用条件更新的自适应均衡签名最小均方算法
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Application No.: PCT/US2004/029175Application Date: 2004-09-08
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Publication No.: WO2005027446A1Publication Date: 2005-03-24
- Inventor: BALAMURUGAN, Ganesh , CASPER, Bryan , JAUSSI, James , MOONEY, Stephen
- Applicant: INTEL CORPORATION , BALAMURUGAN, Ganesh , CASPER, Bryan , JAUSSI, James , MOONEY, Stephen
- Applicant Address: 2200 Mission College Boulevard, Santa Clara, CA 95052 US
- Assignee: INTEL CORPORATION,BALAMURUGAN, Ganesh,CASPER, Bryan,JAUSSI, James,MOONEY, Stephen
- Current Assignee: INTEL CORPORATION,BALAMURUGAN, Ganesh,CASPER, Bryan,JAUSSI, James,MOONEY, Stephen
- Current Assignee Address: 2200 Mission College Boulevard, Santa Clara, CA 95052 US
- Agency: VINCENT, Lester, J.
- Priority: US10/660,228 20030910
- Main IPC: H04L25/03
- IPC: H04L25/03
Abstract:
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: (I), where (II) is the filter vector representing the filter taps of the FIR filter, (III) 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 .
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