Ilya I. Lavrenyuk

Orcid: 0000-0001-6983-1388

According to our database1, Ilya I. Lavrenyuk authored at least 10 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
A Reduction of Peak-to-Average Power Ratio Based Faster-Than-Nyquist Quadrature Signals for Satellite Communication.
Symmetry, 2021

Observation Interval Analysis for Faster-Than-Nyquist Signals Coherent Detection with Decision Feedback.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2021

2020
Optimizing the Shape of Faster-Than-Nyquist (FTN) Signals With the Constraint on Energy Concentration in the Occupied Frequency Bandwidth.
IEEE Access, 2020

Sensitivity of Energy Spectrum Shape and BER to Variation of Parameters Used in Constraint on Correlation Coefficient During FTN Pulse Optimization.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2020

Noncoherent Detection of Optimal FTN Signals with Differential Encoding.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2020

Probability Distributions of Instantaneous Amplitude Values of Random Optimal FTN Signal Sequences with Controlled ISI.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2020

2019
The Efficiency of Detection Algorithms for Optimal FTN Signals.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2019

Estimation of Peak-to-Average Power Ratio of Optimal FTN Signals.
Proceedings of the 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2019

Improving Energy Efficiency of Finite Time FTN Pulses Detection by Choosing Optimal Envelope Shape.
Proceedings of the 26th International Conference on Telecommunications, 2019

2018
Application of Optimal Finite-Length Signals for Overcoming "Nyquist Limit".
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2018


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