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Dr. Prabhu Babu

Assistant Professor

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Prabhu
  • About
  • Research Interest
  • Contact Information
  • Journals
  • Projects
  • Conference/Presentation
  • Book Chapter

About

Dr. Prabhu Babu received his B. Tech degree from Madras Institute of Technology in Electronics in 2005. He then obtained his M. Tech degree in Radio frequency design technology (RFDT) from Centre for Applied Research in Electronics (CARE), IIT Delhi in 2007. He finished his doctor of philosophy from Uppsala University, Sweden in 2012. From January 2013 to December 2015, he was at Hong Kong University of Science and Technology (HKUST), Hong Kong doing his postdoctoral research. In January 2016, he joined CARE, IIT Delhi as an Assistant Professor.

Research Interests

  1. Signal processing and communications
  2. Machine learning
  3. Nonlinear optimization
  4. Sparse parameter estimation aka compressed sensing
  5. Bioinformatics
  6. Big Data analysis
  7. Financial data modeling

Contact Information

Email prabhubabu@care.iitd.ernet.in
Telephone (O) +91-11-26597324
Facsimile +91-11-26591103, 26596219
Address Centre for Applied Research in Electronics,
Indian Institute of Technology, Delhi
Hauz Khas, New Delhi - 110 016, INDIA

JOURNALS

2016

  1. K. Benidis, Y. Sun, P. Babu and D. Palomar, Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation, IEEE Transactions on Signal Processing, Submitted,2016.
  2. Y. Sun, P. Babu and D. Palomar, An Overview of the Majorization-Minimization Algorithm and Its Applications in Signal Processing, Communications, and Machine Learning, IEEE Transactions on Signal Processing, Submitted, 2016.
  3. Z. Wang, P. Babu and D. Palomar, Optimal Design of PAR-Constrained Sequences for MIMO Channel Estimation, IEEE Transactions on Signal Processing, Submitted 2016.
  4. L. Zhao, P. Babu and D. Palomar, Robust Low-Rank Matrix Completion Against Outliers, IEEE Transactions on Signal Processing, accepted, In press, 2016.
  5. T. Qiu, P. Babu and D. Palomar, PRIME: Phase Retrieval via Majorization-Minimization, IEEE Transactions on Signal Processing, accepted, In press, 2016.
  6. Y. Sun, P. Babu and D. Palomar, Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions, IEEE Transactions on Signal Processing, accepted, In press, 2016.
  7. Y. Sun, A Breloy, P. Babu, D. Palomar, F. Pascal, and G. Ginolhac, Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems, IEEE Transactions on Signal Processing, vol. 64, pp. 1986 - 1998, 2016.
  8. J. Song, P. Babu and D. Palomar, Sequence Set Design With Good Correlation Properties via Majorization-Minimization, IEEE Transactions on Signal Processing, vol.64, pp.2866-2879, 2016.

2015

  1. J. Song, P. Babu and D. Palomar, Optimization methods for designing sequences with low autocorrelation sidelobes, IEEE Transactions on Signal Processing, vol. 63, no. 15, pp. 3998- 4009, Aug. 2015
  2. Y. Sun, P. Babu and D. Palomar, Regularized Robust Estimation of Mean and Covariance Matrix under Heavy Tails and Outliers, IEEE Transactions on Signal Processing , vol. 63, no. 12, pp. 3096-3109, June 2015.
  3. J. Song, P. Babu and D. Palomar, Sparse Generalized Eigenvalue Problem via Smooth Optimization", IEEE Transactions on Signal Processing , vol. 63, no. 7, pp. 1627-1642, April 2015.

2014

  1. Y. Sun, P. Babu and D. Palomar, Regularized Robust Covariance Estimation: Existence, Uniqueness, and Algorithms, IEEE Transactions on Signal Processing , vol.62, 5143-5156, 2014.
  2. P. Babu and P. Stoica, Connection between SPICE and Square-Root LASSO for sparse param- eter estimation, Signal Processing , vol. 95, 10-14, 2014.

2013

  1. P. Stoica and P. Babu, Model order estimation via penalizing adaptively the likelihood (PAL), Digital Signal Processing , vol.93, 2865-2871, 2013.
  2. P. Stoica and P. Babu, On the exponentially embedded family (EEF) rule for model order selection, IEEE Signal Processing Letters , vol.19, 551-554, 2013.
  3. P. Stoica and P. Babu, On the proper forms of BIC for model order selection, IEEE Transactions on Signal Processing , vol.59, 5746-5758, 2013.

2012

  1. P. Stoica and P. Babu, On the LIMES approach to the spectral analysis of irregularly sampled data, Electronics Letters , vol.48, No 4, 2012.
  2. P. Stoica and P. Babu, Sparse estimation of spectral lines: Grid selection problems and their solutions, IEEE Transactions on Signal Processing , vol.60, pp. 962 - 967, 2012.
  3. P. Stoica and P. Babu, Maximum-Likelihood nonparametric estimation of smoothed spectra from irregularly sampled data, IEEE Transactions on Signal Processing , vo1.60, pp. 5746 - 5758 , 2012.
  4. P. Stoica and P. Babu, SPICE and LIKES : Two hyperparameter-free methods for sparse- parameter estimation, Signal Processing , vol.92, 1580-1590, 2012.

2011

  1. P. Stoica and P. Babu, The Gaussian data assumption leads to the largest Cramer-Rao bound, IEEE Signal Processing Magazine , vol.28, pp.132-133, 2011.
  2. P. Stoica, P. Babu and J. Li, SPICE: a novel covariance-based sparse estimation method for array processing, IEEE Transactions on Signal Processing , vo1.59, pp. 629-638, 2011.
  3. P. Stoica, P. Babu and J. Li, New method of sparse parameter estimation in separable models and its use for spectral analysis of irregularly sampled data, IEEE Transactions on Signal Processing, vol. 59, pp. 35-47, 2011.

2010

  1. P. Stoica and P. Babu, Algebraic derivation of Elfving theorem on optimal experiment design and some connections with sparse estimation, IEEE Signal Processing Letters , vol. 17, pp. 743-745, 2010.
  2. P. Babu and P. Stoica, Comments on Iterative estimation of sinusoidal signal parameters, IEEE Signal Processing Letters , vol 17, 1022-1023, 2010.
  3. P. Babu, K. Pelckmaans, P. Stoica and J. Li, Linear Systems, Sparse Solutions, and Sudoku, IEEE Signal Processing Letters , vol. 17, no. 1, pp. 40-42, 2010.
  4. P. Babu, Z. Chen, P. Stoica and J. Li, Analysis of radial velocity data by a novel adaptive approach, The Astronomical Journal , vol. 139, pp. 783-793, 2010.
  5. P. Babu and P. Stoica, Spectral analysis of nonuniformly sampled data - a review, Digital Signal Processing, vol. 20, no. 2, pp. 359-378, 2010.

Conference papers

2016

  1. J. Song, P. Babu and D. Palomar, Sequence design to minimize the peak sidelobe level, ICASSP , Shangai, China, 2016.
  2. K. Benidis, Y. Sun, P. Babu and D. Palomar, Orthogoanl sparse eigenvectors: A Procrustes problem, ICASSP , Shangai, China, 2016.
  3. Z. Wang, P. Babu and D. Palomar, Optimal design of constant modulus channel training sequences, ICASSP , Shangai, China, 2016.

2015

  1. T. Qiu, P.Babu and D. Palomar, PRIME: Phase Retrieval via Majorization-Minimization Tech- nique", 50nd ASILOMAR Conference on Signals, Systems and Computers , California, USA, 2015.
  2. L. Zhao, P.Babu and D. Palomar, Robust Low-Rank Optimization for Large Scale Problems, 50nd ASILOMAR Conference on Signals, Systems and Computers , California, USA, 2015.
  3. J. Song, P. Babu and D. Palomar, Optimization methods for designing sequences with low autocorrelation sidelobes, ICASSP , Brisbane, Australia, 2015.
  4. Y. Sun, P. Babu and D. Palomar, Robust Estimation of Covariance Matrix with sructure constraints, ICASSP , Brisbane, Australia, 2015.

2014

  1. J. Song, P.Babu and D. Palomar, Sparse Generalized Eigenvalue Problem via Smooth Opti- mization, 50nd ASILOMAR Conference on Signals, Systems and Computers , California, USA, 2014.
  2. Y. Sun, P. Babu and D. Palomar, Regularized Robust Estimation of Mean and Covariance Matrix under Heavy Tails and Outliers, IEEE-SAM , Barcelona, Spain, 2014.

2012

  1. N. Sandgren, P. Stoica and P. Babu, On moving average parameter estimation, 20th European Signal Processing Conference , Bucharest, Romania, 2012.
  2. P. Babu and P. Stoica, Sparse spectral-line estimation for non uniformly sampled multivari- ate time series: SPICE, LIKES and MSBL, 20th European Signal Processing Conference , Bucharest, Romania, 2012.

2011

  1. P. Babu and P. Stoica, A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection, ICASSP , Prague, Czech Republic, 2011.
  2. P. Stoica, P. Babu and J.Li, A sparse covariance based method for direction of arrival estima- tion, ICASSP , Prague, Czech Republic, 2011.

2010

  1. P. Babu and P. Stoica, Modeling radial velocity signals for exoplanet search applications, 7th International Conference on Informatics in Control, Automation and Robotics , Madeira, Portugal, 2010.

2009 and before

  1. B.Wahlberg, P. Stoica and P. Babu, On estimation of cascade systems with common dynamics, 15th IFAC Symposium on System Identification, Saint-Malo, France, 2009.
  2. P. Babu, P. Stoica and T. Marzetta, An IQML type algorithm for AR parameter estimation from noisy covariance sequences, 17th European Signal Processing Conference , Glasgow, UK, 2009.
  3. P. Babu, E. Gudmundson and P. Stoica, Optimal preconditioning for interpolation of missing data in a band-limited sequence, 42nd ASILOMAR Conference on Signals, Systems and Computers, Californai, USA, 2008.
  4. P. Babu, E. Gudmundson and P. Stoica, Automatic cepstrum-based smoothing of the periodogram via cross-validation, 16th European Signal Processing Conference , Lausanne, Switzerland, 2008.