Multi-target tracking for measurement models with additive contributions. - Frederic Thouin; Santosh Nannuru; Mark Coates (FUSION, 2011)

Particle filter implementation of the multi-Bernoulli filter for superpositional sensors. - Santosh Nannuru; Mark Coates (CAMSAP, 2013)

Multi-Bernoulli filter for superpositional sensors. - Santosh Nannuru; Mark Coates (FUSION, 2013)

Computationally-Tractable Approximate PHD and CPHD Filters for Superpositional Sensors. - Santosh Nannuru; Mark Coates; Ronald P. S. Mahler (IEEE J. Sel. Top. Signal Process., 2013)

Radio-Frequency Tomography for Passive Indoor Multitarget Tracking. - Santosh Nannuru; Yunpeng Li 001; Yan Zeng; Mark Coates; Bo Yang (IEEE Trans. Mob. Comput., 2013)

General solution and approximate implementation of the multisensor multitarget CPHD filter. - Santosh Nannuru; Mark Coates; Michael G. Rabbat; Stéphane Blouin (ICASSP, 2015)

Hybrid multi-Bernoulli and CPHD filters for superpositional sensors. - Santosh Nannuru; Mark Coates (IEEE Trans. Aerosp. Electron. Syst., 2015)

Multisnapshot Sparse Bayesian Learning for DOA. - Peter Gerstoft; Christoph F. Mecklenbräuker; Angeliki Xenaki; Santosh Nannuru (IEEE Signal Process. Lett., 2016)

Multisensor CPHD filter. - Santosh Nannuru; Stéphane Blouin; Mark Coates; Michael G. Rabbat (IEEE Trans. Aerosp. Electron. Syst., 2016)

Sparse Bayesian learning with multiple dictionaries. - Santosh Nannuru; Kay L. Gemba; Peter Gerstoft (GlobalSIP, 2017)

Sparse Bayesian learning with uncertain sensing matrix. - Santosh Nannuru; Peter Gerstoft; Kay L. Gemba (ICASSP, 2017)

Multi-frequency sparse Bayesian learning with uncertainty models. - Santosh Nannuru; Kay L. Gemba; Peter Gerstoft; William S. Hodgkiss; Christoph F. Mecklenbräuker (CoRR, 2017)

Array Shape Calibration Using Low Rank Projections. - Mark Wagner; Michael Bianco; Santosh Nannuru; Peter Gerstoft (ACSSC, 2018)

Doa Estimation in Heteroscedastic Noise with Sparse Bayesian Learning. - Peter Gerstoft; Santosh Nannuru; Christoph F. Mecklenbräuker; Geert Leus (ICASSP, 2018)

Sparse Bayesian Learning for DOA Estimation Using Co-Prime and Nested Arrays. - Santosh Nannuru; Peter Gerstoft; Ali Koochakzadeh; Piya Pal (SAM, 2018)

2D Beamforming on Sparse Arrays with Sparse Bayesian Learning. - Santosh Nannuru; Peter Gerstoft (ICASSP, 2019)

Robust Ocean Acoustic Localization With Sparse Bayesian Learning. - Kay L. Gemba; Santosh Nannuru; Peter Gerstoft (IEEE J. Sel. Top. Signal Process., 2019)

DOA Estimation in heteroscedastic noise. - Peter Gerstoft; Santosh Nannuru; Christoph F. Mecklenbräuker; Geert Leus (Signal Process., 2019)

Sparse Bayesian learning with multiple dictionaries. - Santosh Nannuru; Kay L. Gemba; Peter Gerstoft; William S. Hodgkiss; Christoph F. Mecklenbräuker (Signal Process., 2019)

Sparse Bayesian Learning for Acoustic Source Localization. - Ruchi Pandey; Santosh Nannuru; Aditya Siripuram (ICASSP, 2021)

Experimental Validation of Wideband SBL Models for DOA Estimation. - Ruchi Pandey; Santosh Nannuru; Peter Gerstoft (EUSIPCO, 2022)

Particle Flow Gaussian Particle Filter. - Karthik Comandur; Yunpeng Li 004; Santosh Nannuru (FUSION, 2022)

Parametric Models for Doa Trajectory Localization. - Ruchi Pandey; Santosh Nannuru (ICASSP, 2022)

Identification of Local Neighbourhoods in a Network for Graph-based Signal Reconstruction. - Loay Rashid; Santosh Nannuru (WF-IoT, 2022)

Improving trajectory localization accuracy via direction-of-arrival derivative estimation. - Ruchi Pandey; Shreyas Jaiswal; Huy Phan; Santosh Nannuru (CoRR, 2022)

Improving audio event localization accuracy via derivative prediction. - Ruchi Pandey; Shreyas Jaiswal; Huy Phan; Santosh Nannuru (EUSIPCO, 2023)

Particle Flow Gaussian Sum Particle Filter. - Karthik Comandur; Yunpeng Li 004; Santosh Nannuru (ICASSP, 2023)

Deep Architecture for DOA Trajectory Localization. - Shreyas Jaiswal; Ruchi Pandey; Santosh Nannuru (ICASSP, 2023)

Localization of DOA trajectories - Beyond the grid. - Ruchi Pandey; Santosh Nannuru (CoRR, 2023)

Network Inference from Heat Diffusion Dynamics. - Santosh Nannuru; Ashuthosh Bharadwaj (EUSIPCO, 2024)

Denoising and Completion of Euclidean Distance Matrix from Multiple Observations. - Sai Sumanth Natva; Santosh Nannuru (NCC, 2024)

Mixture-of-Experts for Time Series Imputation. - Aman Atman; Santosh Nannuru (Canadian AI, 2025)

Sequential DOA Trajectory Estimation using Deep Complex Network and Residual Signals. - Shreyas Jaiswal; Peter Gerstoft; Santosh Nannuru (ICASSP, 2025)

Sparse Attention-Based Imputation Network for Time Series. - Aman Atman; Santosh Nannuru (PAKDD (Workshops), 2025)