Successive Quantization of the Neural Network Equalizers in Optical Fiber Communication
Author:
Affiliation:
1. Telecom Paris,Palaiseau,France
2. Infinera,Carnaxide,Portugal
3. Infinera,Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10209604/10209571/10209923.pdf?arnumber=10209923
Reference23 articles.
1. Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping
2. A Survey of Quantization Methods for Efficient Neural Network Inference
3. Bireal net: Enhancing the performance of 1-bit CNNs with improved representational capability and advanced training algorithm;liu;Proc Europ Conf Comp Vision,2018
4. Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization
5. A Fiber Nonlinearity Compensation Scheme With Complex-Valued Dimension-Reduced Neural Network
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