Publications

Journals

  1. On Bandlimited Field Estimation from Samples Recorded by a Location-Unaware Mobile Sensor
    Animesh Kumar
    IEEE Transactions on Communications.
    DOI Link
  2. Blind Reconstruction of Binary Cyclic Codes from Unsynchronized Bitstream
    Arti Yardi, Saravanan Vijayakumaran, and Animesh Kumar
    IEEE Transactions on Communications.
    DOI Link
  3. Towards Enabling Broadband for a Billion Plus Population with TV White Spaces
    Animesh Kumar, Abhay Karandikar, Gaurang Naik, Meghna Khaturia, Shubham Saha, Mahak Arora, and Jaspreet Singh
    To Appear in the IEEE Communications Magazine, Jul 2016, Wireless Technologies for Development (W4D)
    DOI Link Special Issue Paper
  4. On Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations
    Animesh Kumar
    IEEE Transactions on Signal Processing, Mar 2015.
    DOI Link
  5. Interference-constrained coverage algorithms in the protocol and SINR models
    Prateek Kapadia, Om Damani, and Animesh Kumar
    Wireless Networks (Springer), Nov 2014.
    DOI Link
  6. High-Resolution Distributed Sampling of Bandlimited Fields With Low-Precision Sensors
    Animesh Kumar, Prakash Ishwar, and Kannan Ramchandran
    IEEE Transactions in Information Theory, Jan 2011.
    DOI Link
  7. Dithered A/D conversion of smooth non-bandlimited signals
    Animesh Kumar, Prakash Ishwar, and Kannan Ramchandran
    IEEE Transactions in Signal Processing, May 2010.
    DOI Link

Conference

  1. High Rate Quantization Analysis for a Class of Finite Rate of Innovation Signals
    Ajinkya Jayawant and Animesh Kumar
    To Appear in Proc. of the European Signal Processing Conference (EUSIPCO), Aug 2016.
    DOI Link
  2. Optimal Quantization of TV White Space Regions for a Broadcast Based Geolocation Database
    Garima Maheshwari and Animesh Kumar
    To Appear in Proc. of the European Signal Processing Conference (EUSIPCO), Aug 2016.
    DOI Link
  3. Bandlimited Field Estimation from Samples Recorded by a Location-Unaware Mobile Sensor
    Animesh Kumar
    To Appear in Proc. of the IEEE International Symposium on Information Theory, Jul 2016.
    DOI Link
  4. Bandlimited Field Reconstruction from Samples Obtained on a Discrete Grid with Unknown Random Locations
    Ankur Mallick and Animesh Kumar
    Proc. of the IEEE International Conf. on Acoustic Speech and Signal Processing, Mar 2016.
    DOI Link
  5. How Much TV UHF Band Spectrum is Sufficient for Rural Broadband Coverage?
    Animesh Kumar, Rajeev Kumar, Punit Rathod, and Abhay Karandikar
    Proc. of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), May 2015.
    DOI Link Invited Paper
  6. Sampling Smooth Spatio-Temporal Physical Fields: When Will the Aliasing Error Increase With Time?
    Karthik Sharma and Animesh Kumar
    Proc. of the IEEE International Conf. on Acoustic Speech and Signal Processing, Apr 2015.
    DOI Link
  7. OpenPAWS: An Open Source PAWS and UHF TV White Space Database Implementation for India
    Soumik Ghosh, Gaurang Naik, Animesh Kumar, and Abhay Karandikar
    Proc. of the National Conference on Communication, IIT Bombay Feb 2015.
    DOI Link
  8. Channel-Code Detection by a Third-Party Receiver via the Likelihood Ratio Test
    Arti Yardi, Animesh Kumar, and Saravanan Vijayakumaran
    Proc. of the IEEE International Symposium in Information Theory, June 2014.
    DOI Link
  9. Blind Reconstruction of Binary Cyclic Codes
    Arti Yardi, Saravanan Vijayakumaran, and Animesh Kumar
    Proc. of the European Wireless, May 2014.
    IEEEXplore Link
  10. Quantitative Assessment of TV White Space in India
    Gaurang Naik, Sudesh Singhal, Animesh Kumar, and Abhay Karandikar
    Proc. of the National Conference on Communication, IIT Kanpur Feb 2014.
    DOI Link
  11. Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations
    Animesh Kumar
    Proc. of the Sampling Theory and Applications (SampTA) workshop, July 2013.
    Paper Link
  12. Finite Rate of Innovation Signals: Quantization Analysis with Resistor-Capacitor Acquisition Filter
    Srikanth Tenneti, Animesh Kumar, and Abhay Karandikar
    Proc. of the Sampling Theory and Applications (SampTA) workshop, July 2013.
    Paper Link
  13. Estimation of Bandlimited Signals From the Signs of Noisy Samples
    Animesh Kumar and Vinod Prabhakaran
    Proc. of the IEEE International Conf. on Acoustic Speech and Signal Processing, May 2013..
    DOI Link
  14. On Dithered A/D Conversion of Multidimensional Smooth Non-bandlimited Signals
    Akshata Athawale and Animesh Kumar
    Proc. of Signal Processing and Communications (SPCOM) conference, IISc Bangalore, July 2012.
    DOI Link Received Best Student Paper Award
  15. SRAM in hold-operation: modeling the interaction of soft-errors and switching power-supply noise
    Amrut Kolhapure and Animesh Kumar
    Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), May 2012.
    DOI Link
  16. SRAM supply-voltage scaling: a reliability perspective
    Animesh Kumar, Jan Rabaey, and Kannan Ramchandran
    Proc. of the International Symposium on Quality Electronic Design (ISQED), Mar 2009.
    DOI Link
  17. Fundamental data retention limits in SRAM standby — Experimental results
    Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan Rabaey, and Kannan Ramchandran
    Proc. of the International Symposium on Quality Electronic Design, Mar 2008.
    DOI Link
  18. Error-tolerant SRAM design for ultra-low power standby operation
    Huifang Qin, Animesh Kumar, Prakash Ishwar, Jan Rabaey, and Kannan Ramchandran
    Proc. of the International Symposium on Quality Electronic Design, Mar 2008.
    DOI Link
  19. Fundamental bounds on power reduction during data-retention in standby SRAM
    Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan Rabaey, and Kannan Ramchandran
    Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS) May 2007.
    DOI Link
  20. Fundamental redundancy versus power trade-off in standby SRAM
    Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan Rabaey, and Kannan Ramchandran
    Proc. of the IEEE International Conf. on Acoustic Speech and Signal Processing, April 2007.
    DOI Link
  21. On distributed sampling of bandlimited and non-bandlimited sensor fields
    Animesh Kumar, Prakash Ishwar, and Kannan Ramchandran
    Proc. of the IEEE International Conf. on Acoustic Speech and Signal Processing, May 2004.
    DOI Link Invited Paper
  22. On distributed sampling of smooth non-bandlimited fields
    Animesh Kumar, Prakash Ishwar, and Kannan Ramchandran
    Proceedings of the International Processing in Sensor Networks, April 2004.
    DOI Link
  23. On distributed sampling in dense sensor networks: a bit-conservation principle
    Prakash Ishwar, Animesh Kumar, and Kannan Ramchandran
    Proc. of the 41st Annual Allerton Conference on Communication, Control, and Computing, Sep. 2003.
    Link Unavailable Invited Paper

Patents

  1. Method for Facilitating and Analyzing Social Interactions and Context for Targeted Recommendations in a Network of a Telecom Service Provider
    Abhay Karandikar, Animesh Kumar, Prateek Kapadia, Sanjay Kumar, Somya Sharma, and Dhanashree Deval Parakh
    US8862102 B2 (Filed Oct 2010, Granted Oct 2014), US Patent Office.
    Google Patent Link

Contributions/Standards

  1. Use of 450MHz band in India for rural broadband applications
    Infonet laboratory, Indian Institute of Technology Bombay
    WP5D/470-E, Spectrum Aspects.
    ITU Link
  2. Putting TV white spaces to work: affordable broadband backhaul in the 470-698MHz band
    Infonet laboratory, Indian Institute of Technology Bombay
    WP5D/471-E, Technology Aspects.
    ITU Link

Book chapters

  1. Distributed sampling in dense sensor networks: a bit-conservation principle
    Prakash Ishwar, Animesh Kumar, and Kannan Ramchandran
    Lecture Notes in Computer Science, Information Processing in Sensor Networks, Apr. 2003.
    DOI Link

Thesis

  1. SRAM leakage-power optimization framework: a system level approach
    Animesh Kumar
    Advisor: Prof. Kannan Ramchandran
    EECS, University of California, Berkeley, Dec. 2008
    Web Link
  2. Distributed sampling in dense sensor networks: a "bit-conservation" principle
    Animesh Kumar
    Advisor: Prof. Kannan Ramchandran
    EECS, University of California, Berkeley, Dec. 2003
    Link Unavailable

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