Joint Modulation Format Identification and Optical Signal-to-Noise Ratio Monitoring Based on Ternary Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230834
Abstract: Modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) monitoring are essential for elastic optical networks. A method for joint modulation format identification and OSNR monitoring based on ternary neural networks was proposed. Further, a… read more here.
Keywords: modulation format; modulation; ternary neural; format identification ... See more keywords
A Survey on Binary and Ternary Neural Networks and Their Realization in Compute-in-Memory for Edge Intelligence
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3633487
Abstract: Deep learning has achieved remarkable success across a wide range of applications, such as language modeling, computer vision, recommendation systems, and robotics. However, the growing size of models and their increasing computational demands pose significant… read more here.
Keywords: binary ternary; extreme quantization; ternary neural; compute memory ... See more keywords
Enhancing the ternary neural networks with adaptive threshold quantization
Sign Up to like & getrecommendations! Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v40.i2.pp700-706
Abstract: Ternary neural networks (TNNs) with weights constrained to –1, 0, and +1 offer an efficient deep learning solution for low-cost computing platforms such as embedded systems and edge computing devices. These weights are typically obtained… read more here.
Keywords: adaptive threshold; quantization; training; ternary neural ... See more keywords