Energy efficient and runtime based approximate computing techniques for image processing applications: an integrated approach covering circuit to algorithmic level

Energy efficient and runtime based approximate computing techniques for image processing applications: an integrated approach covering circuit to algorithmic level

Approximate computing has been widely used in error resilient design for improving the energy performance by reducing circuit complexity and allowing circuits to produce acceptable error results (approximation). Generally, the approximate computing techniques have been developed and implemented eith...

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Bibliographic Details
Main Author: Huang, Junqi
Format: Thesis (University of Nottingham only)
Language:English
Published: 2021
Subjects:
approximate computing
low-power design
approximate full adder
ripple carry adder
frequency upscaling
voltage overscaling
inverter equivalent circuit
approximate dct
zigzag scanning
image compression
fpga
vlsi design
inexact newton method
unconstrained optimization
total variation
image denoising
binary adder
binary multiplier
energy dissipation
worst-case delay
Online Access:https://eprints.nottingham.ac.uk/64542/

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