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The 3rd IEEE International Workshop on System-on-Chip for Real-Time Applications (IWSOC'03)
FEASIBILITY OF FIXED-POINT TRANSVERSAL ADAPTIVE FILTERS IN FPGA DEVICES WITH EMBEDDED DSP BLOCKS
Calgary, Alberta, Canada
June 30-July 02
ISBN: 0-7695-1944-X
Andrew Y. Lin, Computational NeuroEngineering Laboratory, Dept. of ECE, University of Florida
Karl S. G ugel, Computational NeuroEngineering Laboratory, Dept. of ECE, University of Florida
Jos? C. Pr?ncipe, Computational NeuroEngineering Laboratory, Dept. of ECE, University of Florida
Transversal adaptive filters for digital signal processing have traditionally been implemented into DSP processors due to their ability to perform fast floating-point arithmetic. However, with its growing die size as well as incorporating the embedded DSP block, the FPGA devices have become a serious contender in the signal processing market. Although it is not yet feasible to use floating-point arithmetic in modern FPGAs, it is sufficient to use fixed-point arithmetic and still achieve tap-weight convergence for adaptive filters. This paper examines the feasibility of implementing an adaptive algorithm, namely the LMS algorithm, based on fixed-point arithmetic, using the Altera Stratix device.
Citation:
Andrew Y. Lin, Karl S. G ugel, Jos? C. Pr?ncipe, "FEASIBILITY OF FIXED-POINT TRANSVERSAL ADAPTIVE FILTERS IN FPGA DEVICES WITH EMBEDDED DSP BLOCKS," iwsoc, pp.157, The 3rd IEEE International Workshop on System-on-Chip for Real-Time Applications (IWSOC'03), 2003
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