Ribhu

I received the B.E. degree in Electronics and Communication Engineering from Panjab University, Chandigarh, India in 2009, and the M.Tech. and Ph. D. Degrees in Electronics and Communication Engineering from Indian Institute of Technology, Roorkee, India in 2011 and 2016 respectively. I worked as a project associate at the SPC lab Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore from August 20, 2015 till May 22, 2016, and as an Institute research associate from May 23, 2016 till March 10, 2017. My research interests include statistical and adaptive signal processing, massive MIMO systems, and cognitive communications. My blog regarding semi-technical and non-technical stuff can be found here, and my CV here.

Currently, I am working at IIT Guwahati as an assistant Professor, and my homepage/contact details can be found here.

1. Ribhu Chopra.; Debashis Ghosh; D. K. Mehra “Spectrum Sensing for Cognitive Radios Based on Space-Time FRESH Filtering,” IEEE Transactions on Wireless Communications , vol.13, no.7, pp.3903-3913, July 2014
2. Khunteta, A., Ghosh D, Ribhu, “A Fuzzy Approach to Image Exposure Level Estimation and Contrast Enhancement in Dark Images via Exposure Level Optimization” International Journal of Latest Trends in Engineering, Science and Technology, Volume 1, Issue 5.
3. Ribhu Chopra, D. Ghosh and D. K. Mehra, “FRESH Filter-Based Spectrum Sensing in the Presence of Cyclic Frequency Offset,” in IEEE Wireless Communications Letters , vol. 5, no. 2, pp. 124-127, April 2016.
4. Ribhu Chopra, Debashis Ghosh, D.K. Mehra, Performance evaluation of FRESH filter based spectrum sensing for cyclostationary signals, Physical Communication , Volume 20, September 2016, Pages 17-32, ISSN 1874-4907.
5. Ribhu Chopra, C. R. Murthy, and H. A. Suraweera, On the Throughput of Large MIMO Beamforming Systems with Channel Aging, in IEEE Signal Processing Letters , vol. 23, no. 11, pp. 1523-1527, Nov. 2016.
6. Ribhu Chopra, C. R. Murthy, and R. Annavajjala, “Multi-Stream distributed Co-Phasing,” in IEEE Transactions on Signal Processing , vol. 65, no. 4, pp. 1042-1057, Feb.15, 2017.

1. Ribhu, R.; Ghosh, D., “Dictionary design for sparse signal representations using K-SVD with sparse Bayesian learning, 2012 IEEE 11th International Conference on Signal Processing (ICSP) , vol.1, no., pp.21,25, 21-25 Oct. 2012
2. Ribhu, R.; Ghosh, D., “A sparse representation based approach for steganography,” 2012 IEEE 11th International Conference on Signal Processing (ICSP) , vol.3, no., pp.1678,1681, 21-25 Oct. 2012
3. Khunteta, A.; Ghosh, D.; Ribhu, “Fuzzy rule-based image exposure level estimation and adaptive gamma correction for contrast enhancement in dark images,” 2012 IEEE 11th International Conference on Signal Processing (ICSP) , vol.1, no., pp.667,672, 21-25 Oct. 2012
4. Ghosh, D.; Ribhu; Shivaprasad, A.P., “Parameter tuning for multi-prototype possibilistic classifier with reject options,” 2013 IEEE International Conference on Fuzzy Systems (FUZZ) , vol., no., pp.1,6, 7-10 July 2013
5. Ribhu; D. Ghosh ; D. K. Mehra, “Cyclostationary spectrum sensing for OFDM signals in the presence of cyclic frequency offset,” 2014 International Conference on Signal Processing and Communications (SPCOM) , vol., no., pp.1,6, 22-25, Banglore, India, July 2014
6. Ribhu; D. Ghosh ; D. K. Mehra, D.K., “Cooperative Spectrum Sensing for Cognitive Radios Using Jointly Adaptive FRESH Filters,” National Conference on Communications 2015 (NCC-2015) , pp.1,6, Mumbai, India, Feb 2015
7. Ribhu Chopra, C. R. Murthy, and R. Annavajjala, “Multi-Stream distributed Co-Phasing: design and analysis,” 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (IEEE SPAWC 2016), Edinburgh, United Kingdom, July 2016.