Splitting the Least-Mean-Square Algorithm
(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)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/record/603577
- author
- Magesacher, Thomas ^{LU} ; Ödling, Per ^{LU} ; Börjesson, Per Ola ^{LU} and Nordström, T
- organization
- publishing date
- 2002
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- in
- Proceedings of the 5th Nordic Signal Processing Symposium
- conference name
- NORSIG-2002
- language
- English
- LU publication?
- yes
- id
- 1690e0db-93c5-44e7-abe9-a3af337df2cb (old id 603577)
- date added to LUP
- 2007-12-03 13:34:38
- date last changed
- 2016-04-16 11:45:43
@misc{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}, language = {eng}, series = {Proceedings of the 5th Nordic Signal Processing Symposium}, title = {Splitting the Least-Mean-Square Algorithm}, year = {2002}, }