Project Code :TVMAFE777
Objective
The objective of this project is to design and implement a clock-gating-based approximate multiplier that reduces power consumption in digital circuits. It aims to exploit error tolerance in applications to achieve energy-efficient computation while maintaining acceptable output quality. The project also seeks to evaluate the trade-offs between power, delay, area, and computational accuracy
Abstract
The multipliers are essential components in real-time applications. Although approximation arithmetic affects
the output accuracy in multipliers, it offers a realistic avenue for constructing power-, areaβ, and speed-efficient
digital circuits. The approximation computing technique is commonly used in error-tolerant applications such as
signal, image, and video processing. In this study, approximate multipliers (AMs) are designed using both
conventional and approximate half adders (A-HAs) and full adders (A-FAs), which are strategically placed to add
partial products at the most significant bit (MSB) positions, and OR gates are used to add partial products at the
lower significant bit (LSB). In addition, this research article demonstrates unsigned and signed multipliers using
the Ripple Carry Adder (RCA), Carry Save Adder (CSA), Conditional Sum Adder (COSA), Carry Select Adder
(CSLA), and Clock Gating Technique. The proposed multipliers are implemented in Verilog HDL and simulated
on the Xilinx VIVADO 2021.2 design tool, with the target platform being the Artix-7 AC701 FPGA. The results
found that the power dissipation change is 13%, the delay change is 4.7%, and the area change is 15% for the 16
bit unsigned approximate multiplier. For the 16-bit signed approximate multiplier, the power change is 18.81%,
the delay change is 3.57%, and the area change is 14.29% using inexact and exact adders and the clock gating
technique with CSA as the final partial product summer. Clock-gating 16-bit multiplier RED decreases when
compared to approximate adder usage alone in the multiplier. The proposed multipliers are useful in error
tolerant applications such as digital signal processing, image fusion, image blending, smoothing, and sharp
ening to produce high-quality images at high speed and with low power consumption
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram

Learning Outcomes
Understand the concept of approximate computing and its trade-offs for power and accuracy.
Learn clock-gating techniques for dynamic power reduction in sequential circuits.
Gain skills in designing approximate multipliers for energy-efficient digital systems.
Analyze trade-offs between accuracy, power, delay, and area.
Implement and simulate digital arithmetic units using Verilog/VHDL.
Apply approximate arithmetic in real-time error-tolerant applications such as image processing and IoT.