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A systolic architecture for LMS adaptive filtering with minimal adaptation delay

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2 Author(s)
Ramanathan, S. ; Supercomput. Educ. & Res. Centre, Indian Inst. of Sci., Bangalore, India ; Visvanathan, V.

Existing systolic architectures for the LMS algorithm with delayed coefficient adaptation have large adaptation delay and hence degraded convergence behaviour. This paper presents a systolic architecture with minimal adaptation delay and input/output latency, thereby improving the convergence behaviour to near that of the original LMS algorithm. The architecture is synthesized by using a number of function preserving transformations on the signal flow graph representation of the delayed LMS algorithm. With the use of carry-save arithmetic, the systolic folded pipelined architecture can support very high sampling rates, limited only by the delay of a full adder

Published in:

VLSI Design, 1996. Proceedings., Ninth International Conference on

Date of Conference:

3-6 Jan 1996

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