Nimish Yadav

According to our database, Nimish Yadav authored at least 4 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bayesian Learning Aided Simultaneous Sparse Estimation of Dual-Wideband THz Channels in Multi-User Hybrid MIMO Systems.

Abhisha Garg, Akash Kumar, Suraj Srivastava, Nimish Yadav, Aditya K. Jagannatham, Lajos Hanzo

IEEE Trans. Veh. Technol., June, 2026

Terahertz Beamforming and Group Sparse Channel Estimation Relying on Low-Resolution ADCs in MU Hybrid MIMO Systems.

Abhisha Garg, Suraj Srivastava, Akash Kumar, Nimish Yadav, Aditya K. Jagannatham, Lajos Hanzo

IEEE Trans. Commun., 2026

2025

Solar Data Tools: a Python library for automated analysis of unlabeled PV data.

Sara A. Miskovich, Bennet E. Meyers, Elpiniki Apostolaki-Iosifidou, Claire Berschauer, Chengcheng Ding, Aramis Dufour, David Jose Florez Rodriguez, Jonathan Goncalves, Alejandro Londono-Hurtado, Victor-Haoyang Lian, Tristan Lin, Junlin Luo, Xiao Ming, Duncan Ragsdale, Derin Serbetcioglu, Shixian Sheng, Jose St Louis, Tadatoshi Takahashi, Nimish Telang, Mitchell Victoriano, Haoxi Zhang, Nimish Yadav

J. Open Source Softw., July, 2025

2024

Angularly Sparse Channel Estimation in Dual- Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning.

Abhisha Garg, Suraj Srivastava, Nimish Yadav, Aditya K. Jagannatham, Lajos Hanzo

IEEE Trans. Commun., July, 2024