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Splitting the Least-Mean-Square Algorithm

Magesacher, Thomas LU ; Ödling, Per LU ; Börjesson, Per Ola LU and Nordström, T (2002) NORSIG-2002 In Proceedings of the 5th Nordic Signal Processing Symposium
Abstract
The least-mean-square (LMS) algorithm is an adaptation scheme widely used in practice due to its simplicity. In some applications the involved signals are continuous-time. Then, usually either a fully analog implementation of the LMS algorithm is applied or the input data are sampled by analog-to-digital (AD) converters to be processed digitally. A purely digital realization is most often the preferred choice, however, it becomes costly for high-frequency input signals since fast AD converters are needed. In this paper we propose a hybrid analog/digital approach allowing the AD conversion rate to be as low as the update-rate of the LMS algorithm. We demonstrate the advantage of this approach applying it to an interference cancellation... (More)
The least-mean-square (LMS) algorithm is an adaptation scheme widely used in practice due to its simplicity. In some applications the involved signals are continuous-time. Then, usually either a fully analog implementation of the LMS algorithm is applied or the input data are sampled by analog-to-digital (AD) converters to be processed digitally. A purely digital realization is most often the preferred choice, however, it becomes costly for high-frequency input signals since fast AD converters are needed. In this paper we propose a hybrid analog/digital approach allowing the AD conversion rate to be as low as the update-rate of the LMS algorithm. We demonstrate the advantage of this approach applying it to an interference cancellation problem occurring in wireline communications: the sampling rate of the AD converters is reduced by a factor of 250. (Less)
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Proceedings of the 5th Nordic Signal Processing Symposium
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NORSIG-2002
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1690e0db-93c5-44e7-abe9-a3af337df2cb (old id 603577)
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2007-12-03 13:34:38
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@inproceedings{1690e0db-93c5-44e7-abe9-a3af337df2cb,
  abstract     = {The least-mean-square (LMS) algorithm is an adaptation scheme widely used in practice due to its simplicity. In some applications the involved signals are continuous-time. Then, usually either a fully analog implementation of the LMS algorithm is applied or the input data are sampled by analog-to-digital (AD) converters to be processed digitally. A purely digital realization is most often the preferred choice, however, it becomes costly for high-frequency input signals since fast AD converters are needed. In this paper we propose a hybrid analog/digital approach allowing the AD conversion rate to be as low as the update-rate of the LMS algorithm. We demonstrate the advantage of this approach applying it to an interference cancellation problem occurring in wireline communications: the sampling rate of the AD converters is reduced by a factor of 250.},
  author       = {Magesacher, Thomas and Ödling, Per and Börjesson, Per Ola and Nordström, T},
  booktitle    = {Proceedings of the 5th Nordic Signal Processing Symposium},
  language     = {eng},
  title        = {Splitting the Least-Mean-Square Algorithm},
  year         = {2002},
}