Feasibility of Fixed-Point Transversal Adaptive Filters in FPGA Devices with Embedded DSP Blocks

نویسندگان

  • Andrew Y. Lin
  • Karl S. Gugel
  • José Carlos Príncipe
چکیده

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.

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تاریخ انتشار 2003