Ribhu

I received my B.E. in Electronics and Communication Engineering from UIET, Panjab University, Chandigarh in the year 2009. I completed my M.Tech and Ph.D. from Indian Institute of Technology Roorkee, Roorkee in the years 2011 and 2016 respectively. My Ph.D. thesis is titled “Adaptive Techniques for Cyclostationary Spectrum Sensing in Cognitive Radios”, and was completed under the supervision of Prof.(Rted.) D.K. Mehra and Prof. Debashis Ghosh. My current work is on physical layer data fusion techniques for wireless sensor networks, and on the effects of CSI impairments on multi-antenna communication systems.

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.

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.