
Aazar Kashi - Optical System Designer - Nokia | LinkedIn
View Aazar Kashi’s profile on LinkedIn, a professional community of 1 billion members. Optical System Designer at Nokia | Fiber-Optic Communication · Experience: Nokia ·...
- 职位: Optical System Designer at …
- 位置: Nokia
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Kashi AAZAR SAADAAT | Doctor of Philosophy - ResearchGate
Kashi AAZAR SAADAAT | Cited by 174 | of Queen's University, Kingston (QueensU) | Read 19 publications | Contact Kashi AAZAR SAADAAT
Aazar S. Kashi | IEEE Xplore Author Details
Affiliations: [Department of Electrical and Computer Engineering, Queen's University, Kingston, Canada]. Author Bio: Authors’ biographies not available at the t.
Neural Network Training Framework for Nonlinear Signal-to-Noise …
A. S. Kashi, J. C. Cartledge, and W. Chan, "Neural Network Training Framework for Nonlinear Signal-to-Noise Ratio Estimation in Heterogeneous Optical Networks," in Optical Fiber Communication Conference (OFC) 2021, P. Dong, J. Kani, C. Xie, R. Casellas, C. Cole, and M. Li, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper M5F.3.
Deep learning-based nonlinear phase shift estimation in coherent ...
2021年6月1日 · In this paper, an estimation algorithm of NLPS based on a convolutional neural network (CNN) with no prior knowledge of the transmission link required is proposed, where the CNN algorithm is a widely used and well-performed artificial vision method [18].
Lightwave Systems Research Laboratory - Queen's U
9 March 2021, Aazar Kashi's paper "Neural Network Training Framework for Nonlinear Signal-to-Noise Ratio Estimation in Heterogeneous Optical Networks" accepted for presentation at OFC 2021. fusion splicers.
A Grey-box Model for Estimating Nonlinear SNR in Optical …
Aazar S. Kashi, John C. Cartledge, and Wai-Yip Chan M5F.3 Optical Fiber Communication Conference (OFC) 2021
Aazar Kashi (0000-0002-4366-7441) - ORCID
ORCID record for Aazar Kashi. ORCID provides an identifier for individuals to use with their name as they engage in research, scholarship, and innovation activities.
Aazar Saadaat Kashi - Home - ACM Digital Library
Aazar Saadaat Kashi. Skip slideshow. Most frequent co-Author. Most cited colleague. Top subject. Currently Not Available. Top keyword. Direct conversion. View research. Most frequent Affiliation. Reflects downloads up to 29 Jan 2025 Bibliometrics. Average Citations per Article. 2. Citation Count. 2. Publication Count. 1.
Aazar Saadaat Kashi | IEEE Xplore Author Details
Affiliations: [Department of Electrical Engineering, University of Tehran, Tehran, Iran].
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