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Design and Analysis of Low Power Approximate Multiplier Using Novel Compressor
by
Thakur, Garima
, Jain, Shruti
, Sohal, Harsh
in
AI Based Internet of Healthcare: Analysis and Future Perspectives
/ Approximation
/ Circuits
/ Compressors
/ Computation
/ Computer Imaging
/ Computer Science
/ Computer Systems Organization and Communication Networks
/ Data Structures and Information Theory
/ Design
/ Efficiency
/ Energy consumption
/ Image processing
/ Information Systems and Communication Service
/ Lookup tables
/ Multiplication
/ Multiplication & division
/ Multipliers
/ Original Research
/ Pattern Recognition and Graphics
/ Power consumption
/ Software Engineering/Programming and Operating Systems
/ Vision
2024
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Design and Analysis of Low Power Approximate Multiplier Using Novel Compressor
by
Thakur, Garima
, Jain, Shruti
, Sohal, Harsh
in
AI Based Internet of Healthcare: Analysis and Future Perspectives
/ Approximation
/ Circuits
/ Compressors
/ Computation
/ Computer Imaging
/ Computer Science
/ Computer Systems Organization and Communication Networks
/ Data Structures and Information Theory
/ Design
/ Efficiency
/ Energy consumption
/ Image processing
/ Information Systems and Communication Service
/ Lookup tables
/ Multiplication
/ Multiplication & division
/ Multipliers
/ Original Research
/ Pattern Recognition and Graphics
/ Power consumption
/ Software Engineering/Programming and Operating Systems
/ Vision
2024
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Do you wish to request the book?
Design and Analysis of Low Power Approximate Multiplier Using Novel Compressor
by
Thakur, Garima
, Jain, Shruti
, Sohal, Harsh
in
AI Based Internet of Healthcare: Analysis and Future Perspectives
/ Approximation
/ Circuits
/ Compressors
/ Computation
/ Computer Imaging
/ Computer Science
/ Computer Systems Organization and Communication Networks
/ Data Structures and Information Theory
/ Design
/ Efficiency
/ Energy consumption
/ Image processing
/ Information Systems and Communication Service
/ Lookup tables
/ Multiplication
/ Multiplication & division
/ Multipliers
/ Original Research
/ Pattern Recognition and Graphics
/ Power consumption
/ Software Engineering/Programming and Operating Systems
/ Vision
2024
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Design and Analysis of Low Power Approximate Multiplier Using Novel Compressor
Journal Article
Design and Analysis of Low Power Approximate Multiplier Using Novel Compressor
2024
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Overview
The multiplier is one of the most essential arithmetic blocks in computer architecture, as it has an impact on the system’s overall performance. Approximate computing help in improving multiplier performance with low power consumption at the expense of computing precision. In this paper, approximate novel compressors are proposed and further used for the implementation of the proposed approximate multiplier. In the multiplication, process compressors are used for the reduction of partial products with low consumption of power. In comparison to the exact multiplier, the proposed multiplier shows efficient results in terms of Look-up tables, area, memory utilization, and power consumption. The validation of the approximate multiplier is done in an error-tolerant application. In this paper, validation is done in an image processing application for image blending which results in 23.87 dB and 22.7 PSNR values for set 1 and set 2 respectively.
Publisher
Springer Nature Singapore,Springer Nature B.V
Subject
AI Based Internet of Healthcare: Analysis and Future Perspectives
/ Circuits
/ Computer Systems Organization and Communication Networks
/ Data Structures and Information Theory
/ Design
/ Information Systems and Communication Service
/ Pattern Recognition and Graphics
/ Software Engineering/Programming and Operating Systems
/ Vision
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