FFT (Fast Fourier Transform) is a fundamental component in signal processing systems. This project focuses on optimizing FFT designs for FPGA implementation to enhance resource utilization and performance. Four distinct FFT designs were developed, each optimized for different resource usages, including Look-Up Tables (LUTs), power consumption, and other performance metrics.

• Resource Optimization: Improve FFT designs to minimize resource usage such as LUTs and power consumption.
• Performance Enhancement: Develop and implement various FFT designs to address different performance requirements and use cases.

1. Design 1: Optimized for minimal Look-Up Table (LUT) usage.
2. Design 2: Focused on reducing power consumption.
3. Design 3: Aimed at improving processing speed.
4. Design 4: Balanced approach to optimize overall resource usage and performance.

The FFT designs were implemented on an FPGA platform. The implementation involved:

• Hardware Description: Written in VHDL/Verilog to define the FFT logic.
• Synthesis and Simulation: Using FPGA development tools to synthesize the designs and verify functionality.
• Testing: Evaluated each design against resource utilization and performance benchmarks.

Each FFT design demonstrated specific improvements based on the optimization goals:

• Design 1: Achieved a significant reduction in LUT usage.
• Design 2: Showcased a decrease in power consumption.
• Design 3: Delivered faster processing times.
• Design 4: Provided a balanced optimization across multiple resource metrics.

Contributions are welcome! If you have suggestions or improvements, please fork the repository and submit a pull request.

• Indian Institute of Technology, Madras for providing the resources and support for this project.
• FPGA development tools and libraries used during implementation.