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GSFAP Adaptive Filtering Using Log Arithmetic for Resource-Constrained Embedded Systems
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SYSNO ASEP 0341115 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title GSFAP Adaptive Filtering Using Log Arithmetic for Resource-Constrained Embedded Systems Author(s) Tichý, Milan (UTIA-B)
Schier, Jan (UTIA-B) RID
Gregg, D. (IE)Source Title ACM Transactions on Embedded Computing Systems - ISSN 1539-9087
Roč. 9, č. 3 (2010), s. 1-31Number of pages 32 s. Language eng - English Country US - United States Keywords FPGA ; DSP ; logarithmic arithmetic ; affine projection Subject RIV BD - Theory of Information R&D Projects 7H09005 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000275540000015 EID SCOPUS 77949479195 DOI 10.1145/1698772.1698787 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2011
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