FPGA Implementation of the Trigonometric Functions Using the CORDIC Algorithm
Objective
The main of this paper is to improve the latency in trigonometric functions by using Parallel cordic architecture
Abstract
In this project a CORDIC algorithm with IEEE 32 bit floating point representation is proposed to implement trigonometric functions. The paper presents the design principle of various trigonometric functions such as Sine, Cosine, Exponential, Inverse Exponential, Arc Tangent, Logarithm, and Polar to Rectangular conversion using the standard coordinate rotation digital computer (CORDIC) algorithm. Conventional implementation of these trigonometric functions consumes a lot of area and the results of these functions are floating point which is difficult to design. Hence CORDIC algorithm with IEEE 32 bit floating point representation is used in this paper for implementation. CORDIC is an iterative algorithm which can perform the complex functions using the shift and add approach. The serial and pipelined CORDIC architectures configured and compared in terms of Area, Delay, and Power dissipation. Serial CORDIC architecture design has low area whereas; pipeline CORDIC architecture has low latency. The effectiveness of the proposed method is synthesized and simulated using XilinxISE14.7/Xilinx Vivado.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software Requirements:
- Xilinx ISE/Xilinx 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
- Data Flow modeling
- Structural modeling
- Behavioral modeling
- Mixed level modeling
- Introduction to CORDIC algorithm
- About trigonometric functions
- Knowledge on trigonometric transformations
- Knowledge on accumulator addition/subtraction
- About floating point representation
- Applications in real time
- Xilinx ISE 14.7/Xilinx Vivado for design and simulation
- Generation of Netlist
- Solution providing for real time problems
- Project Development Skills:
- Problem Analysis Skills
- Problem Solving Skills
- Logical Skills
- Designing Skills
- Testing Skills
- Debugging Skills
- Presentation Skills
- Thesis Writing Skills
Related Projects
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
