Time-Efficient Approximate Stochastic Computing for Medical Imaging Applications
Author:
Affiliation:
1. Missouri Univ of Science & Technology,Dept of ECE,Rolla,MO,USA
2. Daegu University,Dept of Electronic Eng.,Gyeongsan,Korea
3. Northeastern University,Dept of ECE,Boston,MA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10031262/10031265/10031477.pdf?arnumber=10031477
Reference5 articles.
1. Energy-Performance Scalability Analysis of a Novel Quasi-Stochastic Computing Approach
2. Energy-Efficient FPGA-Based Parallel Quasi-Stochastic Computing
3. Generalized Adaptive Variable Bit Truncation Method for Approximate Stochastic Computing
4. Approximate stochastic computing (ASC) for image processing applications
5. Survey of Stochastic Computing
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1. Modeling Truncation-Based Approximation Error in Stochastic Computing Circuits;2023 20th International SoC Design Conference (ISOCC);2023-10-25
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