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R. Jothin

Researcher at University of Cambridge

Publications -  11
Citations -  96

R. Jothin is an academic researcher from University of Cambridge. The author has contributed to research in topics: Adder & Image processing. The author has an hindex of 5, co-authored 11 publications receiving 51 citations. Previous affiliations of R. Jothin include KGiSL Institute of Technology.

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Journal ArticleDOI

High Performance Significance Approximation Error Tolerance Adder for Image Processing Applications

TL;DR: The Algorithmic strength reduction technique which leads to a reduction in hardware complexity by exploiting the significances is implemented for the reduction in the power consumption and area efficient of Very Large Scale Integration (VLSI) design or iteration period in a programmable Digital Signal Processing (DSP) implementation.
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High performance compact energy efficient error tolerant adders and multipliers for 16-bit image processing applications

TL;DR: To achieve area and energy efficiency, Simplified gate level Approximate Full Adders (SAFAs) are proposed in the inaccurate part of the CEETA and CEETA1 designs and the proposed HPETM1 has a significant amount of power and area savings.
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High Performance Error Tolerant Adders for Image Processing Applications

TL;DR: To achieve high performance, Multiplexer Based Approximate Full Adders (MBAFA) are proposed in the inaccurate part of the HPETA design, which exhibits high speed, area efficiency, low power consumption, less Area-Delay Product (ADP) and 56.32% lesser Power-Delayed Product (PDP) than the existing conventional CSLA, SAET-CSLA, ETCSLa, HSETA, HSSSA, respectively.
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Reliable N sleep shuffled phase damping design for ground bouncing noise mitigation

TL;DR: N-Sleep Shuffled Phase Damping (NSSPD) technique is introduced which attains an increased reliability with high energy efficiency and reduces the power consumption, energy consumption and leakage power when compared to the previous super stacking ground bounce noise reduction technique.
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High Speed Energy Efficient Static Segment Adder for Approximate Computing Applications

TL;DR: A design of high speed energy efficient Static Segment Adder (SSA) is proposed, which improves the overall performance based on static segmentation and accuracy adjustment logic is incorporated to achieve computational accuracy for error tolerant applications.