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Publications

The following papers have been sorted into 5 projects:

  1. The Ramanujan Periodicity Project
  2. Sampling Filters for Compressive Sensing
  3. Sub-Nyquist Sampling of Finite Rate of Innovation Signals: Quantization Analysis
  4. Reconfigurable Processor for Energy-Efficient Computational Photography
  5. Image Fusion Algorithms Using Wavelets

1. The Ramanujan Periodicity Project


Digital Signal Processing Lab
California Institute of Technology, since 2013.
Project Website: (click here)

Journal Papers

  • S. V. Tenneti and P. P. Vaidyanathan, "iMUSIC: A Family of MUSIC-like Algorithms for Integer Period Estimation", IEEE Transactions on Signal Processing, Jan. 2019.

  • S. V. Tenneti and P. P. Vaidyanathan, "Minimum Data-length for Integer Period Estimation", IEEE Transactions on Signal Processing, vol. 66, no. 10, pp. 2733-2745, May 2018.

  • S.V. Tenneti and P. P. Vaidyanathan, "A Unified Theory of Union of Subspaces Models for Period Estimation", IEEE Transactions on Signal Processing, vol. 64, no. 20, pp 5217-31, Oct 2016.

  • S.V. Tenneti and P. P. Vaidyanathan, "Nested Periodic Matrices and Dictionaries: New Signal Representations for Period Estimation", IEEE Transactions on Signal Processing, vol.63, no.14, pp.3736-50, July, 2015.

  • S.V. Tenneti and P. P. Vaidyanathan, "Arbitrarily Shaped Periods in Multi-Dimensional Discrete Time Periodicity", IEEE Signal Processing Letters, vol.22, no.10, pp.1748-1751, Oct. 2015.

Conference Papers

  • S. V. Tenneti and P. P. Vaidyanathan, "Minimal Non-Uniform Sampling For Multi-Dimensional Period Identification", Proc. Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Oct 2018.

  • S. V. Tenneti and P. P. Vaidyanathan, "Absence Seizure Detection Using Ramanujan Filter Banks", Proc. Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Oct 2018.

  • P. P. Vaidyanathan and S. V. Tenneti, "When does periodicity in discrete-time imply that in continuous-time?" Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Proc., Calgary, Canada, April 2018.

  • S. V. Tenneti and P. P. Vaidyanathan, "MUSIC and Ramanujan: MUSIC-like Algorithms for Integer Period Estimation Using Nested Periodic Subspaces", Proc. Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov 2017.

  • S. V. Tenneti and P. P. Vaidyanathan, "Minimum Number of Possibly Non-Contiguous Samples to Distinguish Two Periods", Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Proc., New Orleans, March 2017.

  • P. P. Vaidyanathan and S. V. Tenneti, "Efficient Multiplier-less structures for Ramanujan Filter Banks", Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Proc., New Orleans, March 2017.

  • S. V. Tenneti and P. P. Vaidyanathan, "Detection of Protein Repeats Using Ramanujan Filter Bank", Proc. Asilomar Conference on Signals, Systems and Computers, Monterey, CA, 2016.

  • S.V. Tenneti and P.P. Vaidyanthan, "Critical Datalength for Period Estimation", Proc. IEEE International Symposium on Circuits and Systems, Canada, May. 2016.

  • S.V. Tenneti and P.P. Vaidyanthan, "Detecting Tandem Repeats in DNA Using Ramanujan Filter Bank", IEEE International Symposium on Circuits and Systems, Canada, May. 2016.

  • S.V. Tenneti and P. P. Vaidyanthan, "Minimal Dictionaries for Spanning Periodic Signals", Proc. Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov. 2015.

  • S.V. Tenneti and P. P. Vaidyanthan, "Period Estimation and Tracking: Filter Bank Design using Truth Tables of Logic", Proc. Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov. 2015.

  • S.V. Tenneti and P. P. Vaidyanathan, "Ramanujan Filter Banks for Estimation and Tracking of Periodicity", Proc. IEEE Int. Conf. Acoust. Speech, and Signal Proc., Brisbane, April 2015.

  • P.P. Vaidyanathan and S.V. Tenneti, "Properties of Ramanujan Filter Banks", Proc. European Signal Processing Conference, France, August 2015.

  • S.V. Tenneti and P. P. Vaidyanathan, "Dictionary Approaches for Identifying Periodicities in Data", Proc. Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov. 2014.

  • P. P. Vaidyanathan and S.V. Tenneti, "Ramanujan Subspaces and Digital Signal Processing," Proc. Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov. 2014.

2. Sampling Filters for Compressive Sensing


Digital Signal Processing Lab
California Institute of Technology, 2012-13.

Conference Papers

  • P. P. Vaidyanathan and S. Tenneti, "Reflections on Sampling-Filters for Compressive Sensing and Finite-Innovations-Rate Models," Proc. 47th Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov. 2013.

3. Sub-Nyquist Sampling of Finite Rate of Innovation Signals: Quantization Analysis


Indian Institute of Technology, Bombay (IIT-B), 2012

Conference Papers

  • S. Tenneti, Aniemsh Kumar, Abhay Karandikar "Finite Rate of Innovation Signals: Quantization Analysis with Resistor-Capacitor Acquisition Filter", Proc. 10th International Conference on Sampling Theory and Applications (SampTA) 2013, Bremen.

4. Reconfigurable Processor for Energy-Efficient Computational Photography


Energy-Efficient Circuits and Systems Group
Massachusetts Institute of Technology (MIT), Summer of 2011

Journal Papers

  • R. Rithe, P. Raina, N. Ickes, S. Tenneti, A. P. Chandrakasan, "Reconfigurable Processor for Energy-Efficient Computational Photography," IEEE Journal of Solid-State Circuits, vol.48, no.11, pp.2908,2919, Nov. 2013.

Conference Papers

  • R. Rithe, P. Raina, N. Ickes, S. Tenneti, A. P. Chandrakasan, "Reconfigurable Processor for Energy-Scalable Computational Photography," IEEE International Solid-State Circuits Conference (ISSCC), 164-165, February 2013.

5. Image Fusion Algorithms Using Wavelets


Signal Processing and Artificial Neural Networks (SPANN) Lab
Indian Institute of Technology, Bombay (IIT-B), 2010

Conference Papers

  • Parul Shah, S. Tenneti, S. N. Merchant and U. B. Desai, "A Novel Multifocus Image Fusion Scheme Based on Pixel Significance Using Wavelet Transform", 10th IEEE Image, Video, and Multidimensional Signal Processing Workshop, (IVMSP),Ithaca, USA, 2011, pp. 54-59.

- last updated on: Jan.2016 -