Delay and Power Efficient FIR Architecture for Noise Suppression of EOG Signal

Project Code :TVMAFE548

Objective

In this paper, modified FIR filter with Canonical signed digit (CSD) technique for de-noising the Electro-Oculography (EOG) signal was proposed.

Abstract

Modified FIR filter with Canonical signed digit (CSD) technique for de-noising the Electro-Oculography (EOG) signal was proposed. To remove the noise in EOG signal an enhanced 16-bit FIR filter was used. The proposed FIR architecture uses CSD based multipliers, unlike the conventional shift-add the proposed architecture provide greater improvement in power and delay. CSD is used in order to reduce the design complexity of the multiplication by representing the filter coefficients in CSD format. A dipole was formed between the cornea and retina in an eye, resulting in voltage difference with occurrence of eye movement, which in turn generates an electrical signal. These signals are called as EOG and are useful in many medical and bioelectrical applications.

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Block Diagram

Specifications

Software Requirements:

·         Xilinx ISE/VIVADO Tool

·         HDL: Verilog

Hardware Requirements:

·         Microsoft® Windows XP,

·         Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support

·         512 MB RAM

·         100 MB of available disk space

Learning Outcomes

  • Basics of Digital Electronics
  • VLSI design Flow
  • Introduction to Verilog Coding
  • Different modeling styles in Verilog

o   Data Flow modeling

o   Structural modeling

o   Behavioral modeling

o   Mixed level modeling

  • Introduction to Filter design
  • About Filter usage
  • Knowledge on FIR
  • Knowledge on CSD
  • About Shift-Add

·         Applications in real time

·         Generation of Netlist

·         Solution providing for real time problems

·         Project Development Skills:

o   Problem Analysis Skills

o   Problem Solving Skills

o   Logical Skills

o   Designing Skills

o   Testing Skills

o   Debugging Skills

o   Presentation Skills

o   Thesis Writing Skills

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