Institute of Information Theory and Automation

Publication details

GSFAP Adaptive Filtering Using Log Arithmetic for Resource-Constrained Embedded Systems

Journal Article

Tichý Milan, Schier Jan, Gregg D.


serial: ACM Transactions on Embedded Computing Systems vol.9, 3 (2010), p. 1-31

research: CEZ:AV0Z10750506

project(s): 7H09005, GA MŠk

keywords: FPGA, DSP, logarithmic arithmetic, affine projection

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abstract (eng):

This article shows that FPGA devices are a highly suitable platform for more computationally intensive adaptive algorithms. We present an optimized core which implements GSFAP. GSFAP is an algorithm with far superior adaptation properties than NLMS, and with only slightly higher computational complexity. To further optimize resource requirements we use logarithmic arithmetic, rather than conventional floating point, within the custom core.

RIV: BD

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Last modification: 21.12.2012
Institute of Information Theory and Automation