A channel subspace post-filtering approach to adaptive least-squares estimation. - Raj R. Nadakuditi; James C. Preisig (IEEE Trans. Signal Process., 2004)

The bias of the MVDR beamformer outputs under diagonal loading. - Raj R. Nadakuditi; Alan Edelman (ICASSP (4), 2005)

Applied stochastic Eigen-analysis. - Raj Rao Nadakuditi (2006)

Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples. - Raj Rao Nadakuditi; Alan Edelman (IEEE Trans. Signal Process., 2008)

On the costs and benefits of stochasticity in stream processing. - Raj R. Nadakuditi; Igor L. Markov (DAC, 2010)

Fundamental Limit of Sample Generalized Eigenvalue Based Detection of Signals in Noise Using Relatively Few Signal-Bearing and Noise-Only Samples. - Raj R. Nadakuditi; Jack W. Silverstein (IEEE J. Sel. Top. Signal Process., 2010)

Improving and characterizing the performance of stochastic matched subspace detectors when using noisy estimated subspaces. - Nicholas Asendorf; Raj Rao Nadakuditi (ACSCC, 2011)

Exploiting random matrix theory to improve noisy low-rank matrix approximation. - Raj Rao Nadakuditi (ACSCC, 2011)

Misaligned Principal Components Analysis: Application to gene expression time series analysis. - Arnau Tibau Puig; Ami Wiesel; Raj Rao Nadakuditi; Alfred O. Hero III (ACSCC, 2011)

Latency-optimizing file splitting for transmission over a large multi-hop network. - Raj Rao Nadakuditi; Mingyan Liu (ITA, 2011)

The performance of deterministic matched subspace detectors when using subspaces estimated from noisy, missing data. - Nicholas Asendorf; Raj Tejas Suryaprakash; Raj Rao Nadakuditi (SSP, 2012)

An iterative, backscatter-analysis based algorithm for increasing transmission through a highly-backscattering random medium. - Curtis Jin; Raj Rao Nadakuditi; Eric Michielssen; Stephen Rand (SSP, 2012)

On hard limits of eigen-analysis based planted clique detection. - Raj Rao Nadakuditi (SSP, 2012)

The performance of music-based DOA in white noise with missing data. - Raj Tejas Suryaprakash; Raj Rao Nadakuditi (SSP, 2012)

Graph spectra and the detectability of community structure in networks - Raj Rao Nadakuditi; M. E. J. Newman (CoRR, 2012)

Spectra of random graphs with arbitrary expected degrees - Raj Rao Nadakuditi; M. E. J. Newman (CoRR, 2012)

The singular values and vectors of low rank perturbations of large rectangular random matrices. - Florent Benaych-Georges; Raj Rao Nadakuditi (J. Multivar. Anal., 2012)

Optimally weighted recovery of a low-rank signal matrix from a high-dimensional signal-plus-noise matrix. - Raj Rao Nadakuditi (CoRR, 2013)

Spectra of random graphs with community structure and arbitrary degrees. - Xiao Zhang; Raj Rao Nadakuditi; Mark E. J. Newman (CoRR, 2013)

When are the most informative components for inference also the principal components? - Raj Rao Nadakuditi (CoRR, 2013)

On bottleneck analysis in stochastic stream processing. - Raj Rao Nadakuditi; Igor L. Markov (ACM Trans. Design Autom. Electr. Syst., 2013)

The Performance of a Matched Subspace Detector That Uses Subspaces Estimated From Finite, Noisy, Training Data. - Nicholas Asendorf; Raj Rao Nadakuditi (IEEE Trans. Signal Process., 2013)

Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices. - Himanshu Nayar; Raj Rao Nadakuditi (ACSSC, 2014)

Improved Robust PCA using low-rank denoising with optimal singular value shrinkage. - Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (SSP, 2014)

Batch latency analysis and phase transitions for a tandem of queues with exponentially distributed service times. - Jinho Baik; Raj Rao Nadakuditi (Queueing Syst. Theory Appl., 2014)

OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage. - Raj Rao Nadakuditi (IEEE Trans. Inf. Theory, 2014)

Improving multiset canonical correlation analysis in high dimensional sample deficient settings. - Nicholas Asendorf; Raj Rao Nadakuditi (ACSSC, 2015)

Fundamental limits of singular value based signal detection from randomly compressed signal-plus-noise matrices. - Nicholas Asendorf; Raj Rao Nadakuditi (ACSSC, 2015)

Improved estimation of canonical vectors in canonical correlation analysis. - Nicholas Asendorf; Raj Rao Nadakuditi (ACSSC, 2015)

Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. - Himanshu Nayar; Benjamin A. Miller; Kelly Geyer; Rajmonda Sulo Caceres; Steven Thomas Smith; Raj Rao Nadakuditi (ACSSC, 2015)

Algorithms for estimation of low-rank matrices with triple Kronecker structured singular vectors. - Raj Tejas Suryaprakash; Raj Rao Nadakuditi (CAMSAP, 2015)

OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices. - Himanshu Nayar; Raj Rao Nadakuditi (FUSION, 2015)

Random matrix theory inspired passive bistatic radar detection with noisy reference signal. - Sandeep Gogineni; Pawan Setlur; Muralidhar Rangaswamy; Raj Rao Nadakuditi (ICASSP, 2015)

Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors. - Raj Tejas Suryaprakash; Brian E. Moore; Raj Rao Nadakuditi (ICASSP, 2015)

Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL). - Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (CoRR, 2015)

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $ ell_0$ Method. - Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (CoRR, 2015)

Consistency and MSE Performance of MUSIC-Based DOA of a Single Source in White Noise With Randomly Missing Data. - Raj Tejas Suryaprakash; Raj Rao Nadakuditi (IEEE Trans. Signal Process., 2015)

Free component analysis. - Hao Wu; Raj Rao Nadakuditi (ACSSC, 2016)

Robust PCA: Low rank matrix estimation with hard or soft thresholding-based outlier rejection. - Brian E. Moore; Raj Rao Nadakuditi (GlobalSIP, 2016)

Efficient learning of dictionaries with low-rank atoms. - Saiprasad Ravishankar; Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (GlobalSIP, 2016)

Sum of outer products dictionary learning for inverse problems. - Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (GlobalSIP, 2016)

LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging. - Saiprasad Ravishankar; Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (IVMSP, 2016)

Comparison of passive radar detectors with noisy reference signal. - Sandeep Gogineni; Pawan Setlur; Muralidhar Rangaswamy; Raj Rao Nadakuditi (SSP, 2016)

Efficient online dictionary adaptation and image reconstruction for dynamic MRI. - Saiprasad Ravishankar; Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (ACSSC, 2017)

Augmented robust PCA for foreground-background separation on noisy, moving camera video. - Chen Gao; Brian E. Moore; Raj Rao Nadakuditi (GlobalSIP, 2017)

Robust surface reconstruction from gradients via adaptive dictionary regularization. - Andrew J. Wagenmaker; Brian E. Moore; Raj Rao Nadakuditi (ICIP, 2017)

Robust photometric stereo using learned image and gradient dictionaries. - Andrew J. Wagenmaker; Brian E. Moore; Raj Rao Nadakuditi (ICIP, 2017)

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems. - Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2017)

Improved Detection of Correlated Signals in Low-Rank-Plus-Noise Type Data Sets Using Informative Canonical Correlation Analysis (ICCA). - Nicholas Asendorf; Raj Rao Nadakuditi (IEEE Trans. Inf. Theory, 2017)

Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. - Saiprasad Ravishankar; Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2017)

The Finite Sample Performance of Dynamic Mode Decomposition. - Arvind Prasadan; Raj Rao Nadakuditi (GlobalSIP, 2018)

Reference-less Method for Computing the Transmission Matrix of a Multimode Fiber. - Moussa N'Gom; Theodore B. Norris; Eric Michielssen; Raj Rao Nadakuditi (OFC, 2018)

Passive Radar Detection With Noisy Reference Channel Using Principal Subspace Similarity. - Sandeep Gogineni; Pawan Setlur; Muralidhar Rangaswamy; Raj Rao Nadakuditi (IEEE Trans. Aerosp. Electron. Syst., 2018)

Phase Transitions in the Dynamic Mode Decomposition Algorithm. - Arvind Prasadan; Asad Lodhia; Raj Rao Nadakuditi (CAMSAP, 2019)

Spectra of random networks with arbitrary degrees. - M. E. J. Newman; Xiao Zhang; Raj Rao Nadakuditi (CoRR, 2019)

Free Component Analysis: Theory, Algorithms & Applications. - Hao Wu; Raj Rao Nadakuditi (CoRR, 2019)

Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting. - Arvind Prasadan; Raj Rao Nadakuditi; Debashis Paul (CoRR, 2019)

Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video. - Brian E. Moore; Chen Gao; Raj Rao Nadakuditi (IEEE Trans. Computational Imaging, 2019)

Robust Photometric Stereo via Dictionary Learning. - Andrew John Wagenmaker; Brian E. Moore; Raj Rao Nadakuditi (IEEE Trans. Computational Imaging, 2019)

Time Series Source Separation Using Dynamic Mode Decomposition. - Arvind Prasadan; Raj Rao Nadakuditi (SIAM J. Appl. Dyn. Syst., 2020)

Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. - Brian E. Moore; Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2020)

Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise. - Rishi Sonthalia; Raj Rao Nadakuditi (Trans. Mach. Learn. Res., 2023)

Free Component Analysis: Theory, Algorithms and Applications. - Raj Rao Nadakuditi; Hao Wu (Found. Comput. Math., 2023)

Detection Thresholds in Very Sparse Matrix Completion. - Charles Bordenave; Simon Coste; Raj Rao Nadakuditi (Found. Comput. Math., 2023)