RTU Research Outputs and Resources: Reasearch Staff

Performance Tradeoffs of General-Purpose Digital Hardware and Application-Specific Analog Hardware
(2024)

Carlos Natalino, Dan Li, Oskars Ozoliņš, Xiaodan Pang, Francesco Da Ros
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Feedforward Neural Network-based EVM Estimation: Impairment Tolerance in Coherent Optical Systems
(2022)

Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs, Carlos Natalino, Lu Zhang, Vjačeslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergei Popov, Oskars Ozoliņš
Scientific article indexed in SCOPUS or WOS database

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems
(2022)

Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs, Carlos Natalino, Lu Zhang, Sandis Spolītis, Vjačeslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergei Popov, Oskars Ozoliņš
Scientific article indexed in SCOPUS or WOS database

EVM Estimation for Performance Monitoring in Coherent Optical Systems: An Approach of Linear Regression
(2022)

Yuchuan Fan, Xiaodan Pang, Aleksejs Udaļcovs, Carlos Natalino, Lu Zhang, Sandis Spolītis, Vjačeslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergejs Popovs, Oskars Ozoliņš
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems
(2022)

Yuchuan Fan, Xiaodan Pang, Aleksejs Udaļcovs, Carlos Natalino, Lu Zhang, Sandis Spolītis, Vjačeslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergei Popov, Oskars Ozoliņš
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Information about Author

Publications

Performance Tradeoffs of General-Purpose Digital Hardware and Application-Specific Analog Hardware
(2024)

Feedforward Neural Network-based EVM Estimation: Impairment Tolerance in Coherent Optical Systems
(2022)

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems
(2022)

EVM Estimation for Performance Monitoring in Coherent Optical Systems: An Approach of Linear Regression
(2022)

A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems
(2022)

Information about Author

Publications

Performance Tradeoffs of General-Purpose Digital Hardware and Application-Specific Analog Hardware (2024)

Feedforward Neural Network-based EVM Estimation: Impairment Tolerance in Coherent Optical Systems (2022)

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems (2022)

EVM Estimation for Performance Monitoring in Coherent Optical Systems: An Approach of Linear Regression (2022)

A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems (2022)

Performance Tradeoffs of General-Purpose Digital Hardware and Application-Specific Analog Hardware
(2024)

Feedforward Neural Network-based EVM Estimation: Impairment Tolerance in Coherent Optical Systems
(2022)

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems
(2022)

EVM Estimation for Performance Monitoring in Coherent Optical Systems: An Approach of Linear Regression
(2022)

A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems
(2022)