Raj Rao Nadakuditi

发表

Graph spectra and the detectability of community structure in networks

Raj Rao Nadakuditi, Mark E. J. Newman, M. Newman, 2012, Physical review letters.

The performance of MUSIC in white noise with limited samples and missing data

Raj Rao Nadakuditi, Raj Tejas Suryaprakash, R. Nadakuditi, 2014, 2014 IEEE Radar Conference.

Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting pdf

Raj Rao Nadakuditi, Arvind Prasadan, Debashis Paul, 2019, ArXiv.

Robust PCA: Low rank matrix estimation with hard or soft thresholding-based outlier rejection

Raj Rao Nadakuditi, Brian E. Moore, R. Nadakuditi, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Spectra of random networks with arbitrary degrees

Xiao Zhang, Raj Rao Nadakuditi, Mark E. J. Newman, 2019, Physical review. E.

Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices

Raj Rao Nadakuditi, Himanshu Nayar, R. Nadakuditi, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Fundamental limits of singular value based signal detection from randomly compressed signal-plus-noise matrices

Raj Rao Nadakuditi, Nicholas Asendorf, R. Nadakuditi, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Random matrix theory inspired passive bistatic radar detection with noisy reference signal

Raj Rao Nadakuditi, Muralidhar Rangaswamy, Sandeep Gogineni, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fundamental Limit of Sample Generalized Eigenvalue Based Detection of Signals in Noise Using Relatively Few Signal-Bearing and Noise-Only Samples

Raj Rao Nadakuditi, Jack W. Silverstein, J. W. Silverstein, 2009, IEEE Journal of Selected Topics in Signal Processing.

Robust photometric stereo using learned image and gradient dictionaries

Raj Rao Nadakuditi, Brian E. Moore, Andrew J. Wagenmaker, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2016, IEEE Transactions on Medical Imaging.

An iterative, backscatter-analysis based algorithm for increasing transmission through a highly-backscattering random medium

Raj Rao Nadakuditi, Eric Michielssen, Curtis Jin, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Improving and characterizing the performance of stochastic matched subspace detectors when using noisy estimated subspaces

Raj Rao Nadakuditi, Nicholas Asendorf, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Passive Radar Detection With Noisy Reference Channel Using Principal Subspace Similarity

Raj Rao Nadakuditi, Muralidhar Rangaswamy, Sandeep Gogineni, 2018, IEEE Transactions on Aerospace and Electronic Systems.

On bottleneck analysis in stochastic stream processing

Igor L. Markov, Raj Rao Nadakuditi, I. Markov, 2013, TODE.

Mode control in a multimode fiber through acquiring its transmission matrix from a reference-less optical system.

Raj Rao Nadakuditi, Eric Michielssen, Moussa N'Gom, 2017, Optics letters.

Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL) pdf

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2015, ArXiv.

Reference-less Method for Computing the Transmission Matrix of a Multimode Fiber

Raj Rao Nadakuditi, Eric Michielssen, Theodore B. Norris, 2018, 2018 Optical Fiber Communications Conference and Exposition (OFC).

Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices

Raj Rao Nadakuditi, Steven Thomas Smith, Rajmonda S. Caceres, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

The Performance of a Matched Subspace Detector That Uses Subspaces Estimated From Finite, Noisy, Training Data

Raj Rao Nadakuditi, Nicholas Asendorf, 2013, IEEE Transactions on Signal Processing.

Exploiting random matrix theory to improve noisy low-rank matrix approximation

Raj Rao Nadakuditi, R. Nadakuditi, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Time Series Source Separation Using Dynamic Mode Decomposition

Raj Rao Nadakuditi, Arvind Prasadan, 2020, SIAM J. Appl. Dyn. Syst..

Efficient online dictionary adaptation and image reconstruction for dynamic MRI

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage

Raj Rao Nadakuditi, R. Nadakuditi, 2013, IEEE Transactions on Information Theory.

Time Series Source Separation using Dynamic Mode Decomposition pdf

Raj Rao Nadakuditi, Arvind Prasadan, R. Nadakuditi, 2019, SIAM J. Appl. Dyn. Syst..

Spectra of random graphs with arbitrary expected degrees

Raj Rao Nadakuditi, Mark E. J. Newman, M. Newman, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Misaligned Principal Components Analysis: Application to gene expression time series analysis

Alfred O. Hero, Ami Wiesel, Raj Rao Nadakuditi, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Efficient learning of dictionaries with low-rank atoms

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Algorithms for estimation of low-rank matrices with triple Kronecker structured singular vectors

Raj Rao Nadakuditi, Raj Tejas Suryaprakash, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Robust surface reconstruction from gradients via adaptive dictionary regularization

Raj Rao Nadakuditi, Brian E. Moore, Andrew J. Wagenmaker, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Optimally weighted recovery of a low-rank signal matrix from a high-dimensional signal-plus-noise matrix pdf

Raj Rao Nadakuditi, 2013, ArXiv.

Batch latency analysis and phase transitions for a tandem of queues with exponentially distributed service times

Raj Rao Nadakuditi, Jinho Baik, J. Baik, 2014, Queueing Syst. Theory Appl..

Consistency and MSE Performance of MUSIC-Based DOA of a Single Source in White Noise With Randomly Missing Data

Raj Rao Nadakuditi, Raj Tejas Suryaprakash, R. Nadakuditi, 2015, IEEE Transactions on Signal Processing.

Improved estimation of canonical vectors in canonical correlation analysis

Raj Rao Nadakuditi, Nicholas Asendorf, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

On hard limits of eigen-analysis based planted clique detection

Raj Rao Nadakuditi, R. Nadakuditi, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method pdf

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2015, ArXiv.

Improved Detection of Correlated Signals in Low-Rank-Plus-Noise Type Data Sets Using Informative Canonical Correlation Analysis (ICCA)

Raj Rao Nadakuditi, Nicholas Asendorf, R. Nadakuditi, 2017, IEEE Transactions on Information Theory.

Augmented robust PCA for foreground-background separation on noisy, moving camera video

Raj Rao Nadakuditi, Chen Gao, Brian E. Moore, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Latency-optimizing file splitting for transmission over a large multi-hop network

Mingyan Liu, Raj Rao Nadakuditi, M. Liu, 2011, 2011 Information Theory and Applications Workshop.

Robust Photometric Stereo via Dictionary Learning

Raj Rao Nadakuditi, Brian E. Moore, Andrew John Wagenmaker, 2019, IEEE Transactions on Computational Imaging.

Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors

Raj Rao Nadakuditi, Raj Tejas Suryaprakash, Brian E. Moore, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Controlled Transmission Through Highly Scattering Media Using Semi-Definite Programming as a Phase Retrieval Computation Method

Raj Rao Nadakuditi, Eric Michielssen, Theodore B. Norris, 2018, 2018 Conference on Lasers and Electro-Optics (CLEO).

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2015, IEEE Transactions on Computational Imaging.

OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices

Raj Rao Nadakuditi, Himanshu Nayar, R. Nadakuditi, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Free component analysis

Hao Wu, Raj Rao Nadakuditi, R. Nadakuditi, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples

Alan Edelman, Raj Rao Nadakuditi, A. Edelman, 2007, IEEE Transactions on Signal Processing.

Improved Robust PCA using low-rank denoising with optimal singular value shrinkage

Jeffrey A. Fessler, Raj Rao Nadakuditi, Brian E. Moore, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Panoramic Robust PCA for Foreground–Background Separation on Noisy, Free-Motion Camera Video

Raj Rao Nadakuditi, Brian E. Moore, Chen Gao, 2017, IEEE Transactions on Computational Imaging.

The bias of the MVDR beamformer outputs under diagonal loading

Alan Edelman, Raj Rao Nadakuditi, A. Edelman, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

The performance of deterministic matched subspace detectors when using subspaces estimated from noisy, missing data

Raj Rao Nadakuditi, Raj Tejas Suryaprakash, Nicholas Asendorf, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Iterative, backscatter-analysis algorithms for increasing transmission and focusing light through highly scattering random media.

Raj Rao Nadakuditi, Eric Michielssen, Curtis Jin, 2013, Journal of the Optical Society of America. A, Optics, image science, and vision.

The singular values and vectors of low rank perturbations of large rectangular random matrices

Raj Rao Nadakuditi, Florent Benaych-Georges, F. Benaych-Georges, 2011, J. Multivar. Anal..

Passive radar detection with noisy reference signal using measured data

Raj Rao Nadakuditi, Muralidhar Rangaswamy, Sandeep Gogineni, 2017, 2017 IEEE Radar Conference (RadarConf).

On the costs and benefits of stochasticity in stream processing

Igor L. Markov, Raj Rao Nadakuditi, I. Markov, 2010, Design Automation Conference.

Improving multiset canonical correlation analysis in high dimensional sample deficient settings

Raj Rao Nadakuditi, Nicholas Asendorf, R. Nadakuditi, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Free Component Analysis: Theory, Algorithms & Applications pdf

Hao Wu, Raj Rao Nadakuditi, 2019, ArXiv.

Controlling Light Transmission Through Highly Scattering Media Using Semi-Definite Programming as a Phase Retrieval Computation Method

Raj Rao Nadakuditi, Eric Michielssen, Theodore B. Norris, 2016, Scientific Reports.

A channel subspace post-filtering approach to adaptive least-squares estimation

Raj Rao Nadakuditi, James C. Preisig, R. Nadakuditi, 2004, IEEE Transactions on Signal Processing.

Phase Transitions in the Dynamic Mode Decomposition Algorithm

Raj Rao Nadakuditi, Arvind Prasadan, Asad Lodhia, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

THE FINITE SAMPLE PERFORMANCE OF DYNAMIC MODE DECOMPOSITION

Raj Rao Nadakuditi, Arvind Prasadan, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Comparison of passive radar detectors with noisy reference signal

Raj Rao Nadakuditi, Muralidhar Rangaswamy, Sandeep Gogineni, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2018, IEEE Transactions on Computational Imaging.

Spectra of random graphs with community structure and arbitrary degrees

Xiao Zhang, Raj Rao Nadakuditi, Mark E. J. Newman, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Sum of outer products dictionary learning for inverse problems

Jeffrey A. Fessler, Raj Rao Nadakuditi, Saiprasad Ravishankar, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

The performance of music-based DOA in white noise with missing data

Raj Rao Nadakuditi, Raj Tejas Suryaprakash, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Wavefront Shaping Through Scattering Media Using Semi-Definite Programming as a Phase Retrieval Computation Method

Raj Rao Nadakuditi, Eric Michielssen, Moussa N'Gom, 2017 .

Applied stochastic Eigen-analysis

Raj Rao Nadakuditi, R. Nadakuditi, 2007 .

Fundamental finite-sample limit of canonical correlation analysis based detection of correlated high-dimensional signals in white noise

Raj Rao Nadakuditi, R. Nadakuditi, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

The breakdown point of signal subspace estimation

Raj Rao Nadakuditi, Florent Benaych-Georges, F. Benaych-Georges, 2010, 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop.

Asymptotic Mean Squared Error Performance of Diagonally Loaded Capon-MVDR Processor

Raj Rao Nadakuditi, A. Edelman, A. Edelman, 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

Local Spectrum of Truncations of Kronecker Products of Haar Distributed Unitary Matrices

Raj Rao Nadakuditi, Brendan Farrell, R. Nadakuditi, 2013, 1311.6783.

Random matrix theory inspired passive bistatic radar detection of low-rank signals

Raj Rao Nadakuditi, Muralidhar Rangaswamy, Sandeep Gogineni, 2015, 2015 IEEE Radar Conference (RadarCon).

Numerical computation of convolutions in free probability theory

Raj Rao Nadakuditi, Sheehan Olver, S. Olver, 2012, 1203.1958.

The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices

Raj Rao Nadakuditi, Florent Benaych-Georges, F. Benaych-Georges, 2009, 0910.2120.

Backscatter analysis based algorithms for increasing transmission through highly scattering random media using phase-only-modulated wavefronts.

Raj Rao Nadakuditi, Eric Michielssen, Curtis Jin, 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.