Sudarshan Adiga
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Publications and Pre-Prints

  1. Unsupervised Change Detection using DRE-CUSUM.
    S. Adiga and R. Tandon.
    Submitted to IEEE International Symposium on Information Theory (ISIT), Aalto University, Espoo, Finland, July, 2022.

  2. Sparse Matrix Codes: Rate-Reliability Trade-offs for URLLC.
    S. Adiga, R. Tandon and T.Bose.
    Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2022.

  3. Deep Learning for SVD and Hybrid Beamforming.
    T. Peken, S. Adiga, R. Tandon, and T. Bose.
    IEEE Transactions on Wireless Communications, Volume: 19, Issue: 10, Oct. 2020.

  4. On the Tradeoff Between Mode Collapse and Sample Quality in Generative Adversarial Networks.
    S. Adiga, M.A. Attia, W.-T. Chang and R. Tandon.
    IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, California, USA, 2018.

  5. Kalman filter based multiple sensor data fusion in systems with time delayed state.
    N. Shivashankarappa, S. Adiga, R.A. Avinash and H.R. Janardhan.
    IEEE International Conference on Signal Processing and Integrated Networks, India, 2016.

  6. Synergy of delayed states and missing data in Wireless Sensor Networks using Kalman Filters.
    S. Adiga, H.R. Janardhan, B. Vijeth and N. Shivashankarappa.
    IEEE International Conference on Power and Advanced Control Engineering, India, 2015.

  7. Data prediction in Wireless Sensor Networks using Kalman Filter.
    S. Adiga et al.
    IEEE International Conference on Smart Sensors and Systems, India, 2015.

  8. A Systems View of Pathological Tremors.
    V. Talasila, R. Pasumarthy, S. S. Babu, and S. Adiga.
    Springer National System Conference, IIT Jodhpur, India, 2013.