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Splitting the Least-Mean-Square Algorithm

In English

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