Low-Power Digital Signal Processing Using Approximate Adders

By Vaibhav Gupta, Debabrata Mohapatra, Anand Raghunathan, Kaushik Roy. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2013

821 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/c1c9039e99620ee69c110e0cd6e3e39c5af68bf1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Suganthi Venkatachalam
2. Seok-Bum Ko
3. Michael Orshansky
4. Jie Han

In Electrical and Electronic Engineering

1. Soheil Hashemi
2. Suganthi Venkatachalam
3. Seok-Bum Ko
4. Michael Orshansky
5. Jie Han

Citations in the corpus

• DRUM: A Dynamic Range Unbiased Multiplier for approximate applications (2015, background): “proposed several approximate adder designs that, by removing some of the logic used in a traditional mirror adder, achieved improved power, area, and performance [3].”
• Approximate computing: An emerging paradigm for energy-efficient design (2013, background): “SC offers advantages such as hardware simplicity and fault tolerance [8].”
• Design of Power and Area Efficient Approximate Multipliers (2017, background): “In [1], approximate full adders are proposed at transistor level and they are utilized in digital signal processing applications.”