IMPLEMENTATION CONSIDERATIONS FOR FPGA-BASED ADAPTIVE TRANSVERSAL FILTER DESIGNS By ANDREW Y. LIN A THESIS PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ENGINEERING

نویسندگان

  • Andrew Y. Lin
  • Scott Morrison
  • Jeremy Parks
  • Shalom Darmanjian
  • Joel Fuster
چکیده

of Thesis Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Master of Engineering IMPLEMENTATION CONSIDERATIONS FOR FPGA-BASED ADAPTIVE TRANSVERSAL FILTER DESIGNS By Andrew Y. Lin August, 2003 Chair: José C. Príncipe Major Department: Electrical and Computer Engineering Adaptive filters have become vastly popular in the area of digital signal processing. However, adaptive filtering algorithms assume infinite-precision whereas in reality, digital hardware is of finite-precision. The effects of finite-precision on adaptive algorithms are studied in this thesis and techniques rendering these effects are presented. Simulation results are also presented to verify the techniques targeting specifically to the Least Mean Square (LMS) algorithm. Finally, a fixed-point-based adaptive transversal filter is simulated in a new family of FPGA devices with embedded DSP blocks. The cost-benefit and tradeoff of pipelining are studied. The performance of this new family of FPGA devices is compared against DSP processors, as well as traditional FPGA devices that do not have embedded DSP blocks.

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تاریخ انتشار 2003