Approximate In-Memory Computing using Memristive IMPLY Logic and its Application to Image Processing
Author:
Affiliation:
1. University of Isfahan,Isfahan,Iran
2. TU Wien,Vienna,Austria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937475.pdf?arnumber=9937475
Reference40 articles.
1. Image similarity index based on moment invariants of approximation level of discrete wavelet transform
2. A Memristive Multiplier Using Semi-Serial IMPLY-Based Adder
3. VTEAM: A General Model for Voltage-Controlled Memristors
4. Power-efficient, high-PSNR approximate full adder applied in error-resilient computations based on CNTFETs
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1. Energy-efficient and fast IMPLY-based approximate full adder applying NAND gates for image processing;Computers and Electrical Engineering;2024-01
2. Accelerated Image Processing Through IMPLY-Based NoCarry Approximated Adders;IEEE Transactions on Circuits and Systems I: Regular Papers;2024
3. Carry Disregard Approximate Multipliers;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-12
4. Power-Efficient Approximate Multipliers Leveraging Hybrid CMOS-Memristor Paradigm;2023 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS);2023-11-19
5. An IMPLY-based Semi-Serial Approximate In-Memristor Adder;2023 IEEE Nordic Circuits and Systems Conference (NorCAS);2023-10-31
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