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Deijany Rodríguez Linares

PhD student

Deijany Rodriguez Linares is pursuing a Ph.D. degree under the supervision of Håkan Johansson in the Division of Communication Systems (KS), Department of Electrical Engineering (ISY), Linköping University, Sweden.

His research interests include machine learning, optimization, and signal processing for communication systems.

He holds a B.Sc. degree (2015) and a Master’s degree (2018) in Nuclear Engineering, as well as a specialization in Medical Physics (2016), all from the Higher Institute of Technologies and Applied Sciences (InSTEC) at University of Havana, Cuba.

Since 2019, he has been a Junior Associate of the Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy.

Publications

Deijany Rodriguez Linares, Oksana Moryakova, Håkan Johansson, Efficient Computation of Time-Index Powered Weighted Sums Using Cascaded Accumulators (2025)  https://arxiv.org/abs/2509.15069

Deijany Rodriguez Linares, Oksana Moryakova, Håkan Johansson, Joint Sampling Frequency Offset Estimation and Compensation Based on the Farrow Structure, Proc. IEEE Int. Conf. Digital Signal Processing (DSP), Pylos, Greece, pp. 1-5 (2025)  https://doi.org/10.1109/DSP65409.2025.11074995  https://arxiv.org/abs/2503.07577

Deijany Rodriguez Linares, Håkan Johansson, Low-Complexity Frequency-Dependent Linearizers Based on Parallel Bias-Modulus and Bias-ReLU Operations (2024)  https://arxiv.org/abs/2412.16210

Deijany Rodríguez Linares, Håkan Johansson,  Digital Linearizer Based on 1-Bit Quantizations, 2024 IEEE 24th International Conference on Communication Technology (ICCT), International Conference on Communication Technology (ICCT), pp. 1659-1663, Institute of Electrical and Electronics Engineers (IEEE) (2024)  https://doi.org/10.1109/ICCT62411.2024.10946352  https://arxiv.org/abs/2503.02729

Deijany Rodríguez Linares, Håkan Johansson, Yinan Wang,  Order Estimation of Linear-Phase FIR Filters for DAC Equalization in Multiple Nyquist Bands, IEEE Signal Processing Letters 31:2955-2959 (2024)  https://doi.org/10.1109/LSP.2024.3483008  https://arxiv.org/abs/2402.12075

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