Yogesh Trivedi

About

Yogesh Trivedi is a Professor in Electronics and Communication Engineering Department. He received his BE degree in Electronics from Sardar Patel University, Vallabh Vidya Nagar in 1993 and ME degree in Industrial Electronics from M.S University of Baroda in 1995. He received PhD degree in Electrical Engineering from IIT Kanpur in 2011. From 1995 to 1996, he worked as a lecturer in Faculty of Technology and Engineering, Maharaja Sayajirao University of Baroda. Since 1996, he has been associated with Nirma University. He worked as PG Coordinator for Communication Engineering program and Head, Centre for Continuing Education, Nirma University. His current research interests are in performance analysis and simulation of wireless communication systems, cognitive radio, signal processing, remote sensing. He has published several papers in national/international conferences and international journals. He has completed two research projects sponsored by GUJCOST, Gandhinagar. He has been guiding students for their MTech and PhD degrees in Nirma University. He has organised several short term training programs for the benefit of research scholars in the area of Wireless Communications. Interested students for PhD in the fields of wireless communication, Signal processing such as image and speech, cognitive radio, underwater wireless communication, remote sensing are advised to contact Dr. Trivedi.

Employment

• Nirma University Institute of Science Professor
  2014 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• A hybrid GAN and attention-based sparse autoencoder framework for robust end-to-end wireless communication
  Physical Communication 2026 DOI: 10.1016/j.phycom.2026.103008
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• Balancing Technological Innovation and Environmental Sustainability: A Lifecycle Analysis of 6G Wireless Communication Technology
  Sustainability 2024 DOI: 10.3390/su16156533
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• Spectrum sensing for dynamic primary user with multiple transitions under Rayleigh distributed channel attenuation in additive Laplacian noise
  Physical Communication 2024 DOI: 10.1016/j.phycom.2023.102259
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• Classification of Crops Based on Band Quality and Redundancy from the Hyperspectral Image
  2023 DOI: 10.1007/978-3-031-43605-5_12
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• Band Selection Technique for Crop Classification Using Hyperspectral Data
  Journal of the Indian Society of Remote Sensing 2022 DOI: 10.1007/s12524-022-01545-4
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• Spectrum sensing based on two state discrete time Markov chain in additive Laplacian noise
  Wireless Networks 2022 DOI: 10.1007/s11276-022-02979-x
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• Spectrum Sensing Techniques Based on Last Status Change Point Estimation for Dynamic Primary User in Additive Laplacian Noise
  Wireless Personal Communications 2022 DOI: 10.1007/s11277-021-08984-1
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• Performance of Cooperative Spectrum Sensing Based on Random Transition of the Primary User in Laplacian Noise
  2022 DOI: 10.1007/978-3-030-98002-3_5
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• Модифицированный корреляционный детектор для сканирования спектра с лапласовским шумом в системах когнитивного радио
  Известия высших учебных заведений. Радиоэлектроника 2021 DOI: 10.20535/S0021347021070050
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• Modified Correlation Detector Based Spectrum Sensing with Laplacian Noise in Cognitive Radio
  Radioelectronics and Communications Systems 2021 DOI: 10.3103/S0735272721070050
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