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Santosh Nannuru
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2020 – today
- 2024
- [c20]Santosh Nannuru, Ashuthosh Bharadwaj:
Network Inference from Heat Diffusion Dynamics. EUSIPCO 2024: 1921-1925 - [c19]Sai Sumanth Natva, Santosh Nannuru:
Denoising and Completion of Euclidean Distance Matrix from Multiple Observations. NCC 2024: 1-6 - 2023
- [c18]Ruchi Pandey
, Shreyas Jaiswal, Huy Phan, Santosh Nannuru:
Improving audio event localization accuracy via derivative prediction. EUSIPCO 2023: 236-240 - [c17]Karthik Comandur, Yunpeng Li, Santosh Nannuru:
Particle Flow Gaussian Sum Particle Filter. ICASSP 2023: 1-5 - [c16]Shreyas Jaiswal, Ruchi Pandey
Deep Architecture for DOA Trajectory Localization. ICASSP 2023: 1-5 - [i3]Ruchi Pandey, Santosh Nannuru:
Localization of DOA trajectories - Beyond the grid. CoRR abs/2308.07265 (2023) - 2022
- [c15]Ruchi Pandey, Santosh Nannuru, Peter Gerstoft:
Experimental Validation of Wideband SBL Models for DOA Estimation. EUSIPCO 2022: 219-223 - [c14]Karthik Comandur, Yunpeng Li, Santosh Nannuru:
Particle Flow Gaussian Particle Filter. FUSION 2022: 1-6 - [c13]Ruchi Pandey
Parametric Models for Doa Trajectory Localization. ICASSP 2022: 5118-5122 - [c12]Loay Rashid, Santosh Nannuru:
Identification of Local Neighbourhoods in a Network for Graph-based Signal Reconstruction. WF-IoT 2022: 1-6 - [i2]Ruchi Pandey, Shreyas Jaiswal, Huy Phan, Santosh Nannuru:
Improving trajectory localization accuracy via direction-of-arrival derivative estimation. CoRR abs/2212.03470 (2022) - 2021
- [c11]Ruchi Pandey
Sparse Bayesian Learning for Acoustic Source Localization. ICASSP 2021: 4670-4674
2010 – 2019
- 2019
- [j8]Kay L. Gemba
Robust Ocean Acoustic Localization With Sparse Bayesian Learning. IEEE J. Sel. Top. Signal Process. 13(1): 49-60 (2019) - [j7]Santosh Nannuru
Sparse Bayesian learning with multiple dictionaries. Signal Process. 159: 159-170 (2019) - [j6]Peter Gerstoft
DOA Estimation in heteroscedastic noise. Signal Process. 161: 63-73 (2019) - [c10]Santosh Nannuru
2D Beamforming on Sparse Arrays with Sparse Bayesian Learning. ICASSP 2019: 4355-4359 - 2018
- [c9]Mark Wagner, Michael Bianco, Santosh Nannuru
Array Shape Calibration Using Low Rank Projections. ACSSC 2018: 1103-1110 - [c8]Peter Gerstoft
Doa Estimation in Heteroscedastic Noise with Sparse Bayesian Learning. ICASSP 2018: 3459-3463 - [c7]Santosh Nannuru
Sparse Bayesian Learning for DOA Estimation Using Co-Prime and Nested Arrays. SAM 2018: 519-523 - 2017
- [c6]Santosh Nannuru
Sparse Bayesian learning with multiple dictionaries. GlobalSIP 2017: 1190-1194 - [c5]Santosh Nannuru
Sparse Bayesian learning with uncertain sensing matrix. ICASSP 2017: 3964-3968 - [i1]Santosh Nannuru, Kay L. Gemba, Peter Gerstoft, William S. Hodgkiss, Christoph F. Mecklenbräuker:
Multi-frequency sparse Bayesian learning with uncertainty models. CoRR abs/1704.00436 (2017) - 2016
- [j5]Peter Gerstoft
Multisnapshot Sparse Bayesian Learning for DOA. IEEE Signal Process. Lett. 23(10): 1469-1473 (2016) - [j4]Santosh Nannuru
Multisensor CPHD filter. IEEE Trans. Aerosp. Electron. Syst. 52(4): 1834-1854 (2016) - 2015
- [j3]Santosh Nannuru
Hybrid multi-Bernoulli and CPHD filters for superpositional sensors. IEEE Trans. Aerosp. Electron. Syst. 51(4): 2847-2863 (2015) - [c4]Santosh Nannuru
General solution and approximate implementation of the multisensor multitarget CPHD filter. ICASSP 2015: 4055-4059 - 2013
- [j2]Santosh Nannuru
Computationally-Tractable Approximate PHD and CPHD Filters for Superpositional Sensors. IEEE J. Sel. Top. Signal Process. 7(3): 410-420 (2013) - [j1]Santosh Nannuru
Radio-Frequency Tomography for Passive Indoor Multitarget Tracking. IEEE Trans. Mob. Comput. 12(12): 2322-2333 (2013) - [c3]Santosh Nannuru
Particle filter implementation of the multi-Bernoulli filter for superpositional sensors. CAMSAP 2013: 368-371 - [c2]Santosh Nannuru, Mark Coates:
Multi-Bernoulli filter for superpositional sensors. FUSION 2013: 1632-1637 - 2011
- [c1]Frederic Thouin, Santosh Nannuru, Mark Coates:
Multi-target tracking for measurement models with additive contributions. FUSION 2011: 1-8
Coauthor Index
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