Implement Arithmetic for Signed-Magnitude Representation • Design a 16-bit adder that correctly handles signed-magnitude numbers, which means correctly processing the sign bit separately from the magnitude bits.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Software Requirements:
· Xilinx ISE14.7 Suite/Vivado2018.3 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.
· Understanding signed magnitude representation and its arithmetic operations.
· Learning direct addition techniques for signed numbers without two’s complement conversion.
· Introduction to Verilog HDL coding for combinational circuits.
· Hands-on experience with FPGA implementation and simulation using Xilinx Vivado.
· Understanding FPGA resource optimization, power efficiency, and timing analysis.
· Gaining practical knowledge of magnitude comparison, sign handling, and adder design.
· Developing skills to design efficient, low-power arithmetic circuits for embedded systems.
· Exposure to real-world digital design challenges, including verification and performance evaluation.