This work proposes FALCON, a fault-tolerant, MTJ-based in-memory arithmetic architecture integrated with Stochastic Computing (SC), and investigates the proper functionality of FALCON on morphological closing as a realistic noise-tolerant image processing case study.
Farzad Razi, M. Moghadam, Sercan Aygün et al.· 0 citations
This work introduces MITRA, a reconfigurable magnetic tunnel junction-based in-memory architecture that leverages stochastic computing (SC) to implement a broad class of transcendental and nonlinear functions directly within memory.
Farzad Razi, M. Moghadam, M. Najafi et al.· International Symposium on L...· 0 citations
This study introduces an effective optimization technique for identifying the optimal hyperparameters of a deep neural network (DNN) designed to model the behavior of power amplifiers (PAs). Hence, an innovative and efficient yield-analysis-based approach is proposed to improve both the modeling accuracy and the digita...
Lida Kouhalvandi, L. Matekovits, Sercan Aygün et al.· Signal Processing and Commun...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.