Splitting the Least-Mean-Square Algorithm
Författare
Summary, in English
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.
Publiceringsår
2002
Språk
Engelska
Publikation/Tidskrift/Serie
Proceedings of the 5th Nordic Signal Processing Symposium
Dokumenttyp
Konferensbidrag
Ämne
- Electrical Engineering, Electronic Engineering, Information Engineering
Conference name
NORSIG-2002
Conference date
2002-10-04 - 2002-10-07
Conference place
On board Hurtigruten from Tromsö to Trondheim, Norway
Status
Published