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2020 – today
- 2024
[j23]Christoph F. Mecklenbräuker
, Peter Gerstoft, Esa Ollila, Yongsung Park:
Robust and sparse M-estimation of DOA. Signal Process. 220: 109461 (2024)- [j22]Yifan Wu, Michael B. Wakin, Peter Gerstoft:
Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA. IEEE Trans. Signal Process. 72: 2006-2020 (2024) - [c67]Zheng Zhou, Peter Gerstoft, Kim Olsen:
Fusion of Multi-Resolution Seismic Tomography Maps with Physics-Informed Probability Graphical Models. ICASSP 2024: 2540-2544 - [c66]Ishan D. Khurjekar, Peter Gerstoft:
Multi-Source DOA Estimation With Statistical Coverage Guarantees. ICASSP 2024: 5310-5314 - [c65]William F. Jenkins, Peter Gerstoft:
Bayesian Optimization with Gaussian Processes for Robust Localization. ICASSP 2024: 6010-6014 - [c64]Yifan Wu, Michael B. Wakin, Peter Gerstoft, Yongsung Park:
Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA. ICASSP 2024: 9291-9295 - [c63]Ruixian Liu, Peter Gerstoft:
Deep-Learning-based Spatial Acoustic Properties Recovery from Incomplete Signals. SAM 2024: 1-5 - [c62]Yongsung Park, Peter Gerstoft, Yifan Wu, Michael B. Wakin:
Atomic Norm Denoising for Multi-Frequency-Snapshot Doa Estimation. SAM 2024: 1-5 - [c61]Byungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft:
Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing. INFOCOM 2024: 1611-1620 - [c60]Mehdi Ashury, Fangqing Xiao, José Rodríguez-Piñeiro, Dirk Slock, Peter Gerstoft, Christoph F. Mecklenbräuker, Dominik Lungenschmied:
Joint Estimation of Channel, Range, and Doppler for FMCW Radar with Sparse Bayesian Learning. SPAWC 2024: 111-115 - [c59]Daniel Romero, Tien Ngoc Ha, Peter Gerstoft:
Spoofing Attack Detection in the Physical Layer with Robustness to User Movement. WCNC 2024: 1-6 - [i22]Byungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft:
Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing. CoRR abs/2403.19292 (2024) - [i21]Xenofon Karakonstantis, Efren Fernandez-Grande, Peter Gerstoft:
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks. CoRR abs/2404.06928 (2024) - [i20]Clayton A. Harper, Luke Wood, Peter Gerstoft, Eric C. Larson:
Scaling Continuous Kernels with Sparse Fourier Domain Learning. CoRR abs/2409.09875 (2024) - 2023
- [j21]Yifan Wu, Michael B. Wakin, Peter Gerstoft:
Gridless DOA Estimation With Multiple Frequencies. IEEE Trans. Signal Process. 71: 417-432 (2023) - [j20]Venkatesh Sathyanarayanan, Peter Gerstoft, Aly El Gamal:
RML22: Realistic Dataset Generation for Wireless Modulation Classification. IEEE Trans. Wirel. Commun. 22(11): 7663-7675 (2023) - [c58]Venkatesh Sathyanarayanan, Peter Gerstoft, Aly El Gamal:
Data Centric Approach to Modulation Classification. COMSNETS 2023: 340-344 - [c57]Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park:
Robust Sparse Bayesian Learning for DOA. EUSIPCO 2023: 1788-1792 - [c56]Ishan D. Khurjekar, Peter Gerstoft, Christoph F. Mecklenbräuker, Zoi-Heleni Michalopoulou:
Direction-of-Arrival Estimation Using Gaussian Process Interpolation. ICASSP 2023: 1-5 - [c55]Byungjun Kim, Venkatesh Sathyanarayanan, Christoph F. Mecklenbräuker, Peter Gerstoft:
Deep Learning-Based Modulation Classification for OFDM Systems Without Symbol-Level Synchronization. ICASSP Workshops 2023: 1-5 - [c54]Ruixian Liu, Peter Gerstoft:
SD-PINN: Physics Informed Neural Networks for Spatially Dependent PDES. ICASSP 2023: 1-5 - [c53]Ted Rogers, Peter Gerstoft:
Empiric Bayesian Inversion of Evaporation Ducts From Synthetic Phased-Array Data. ICASSP Workshops 2023: 1-5 - [c52]Ishan D. Khurjekar, Peter Gerstoft:
DOA Uncertainty Quantification With Conformal Prediction. MLSP 2023: 1-6 - [c51]Byungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft:
Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum Sensing. MSWiM 2023: 137-145 - [i19]Ruixian Liu, Peter Gerstoft:
SD-PINN: Deep Learning based Spatially Dependent PDEs Recovery. CoRR abs/2310.10970 (2023) - [i18]Daniel Romero, Tien Ngoc Ha, Peter Gerstoft:
Spoofing Attack Detection in the Physical Layer with Robustness to User Movement. CoRR abs/2310.11043 (2023) - 2022
- [j19]Herbert Groll, Peter Gerstoft, Markus Hofer, Jiri Blumenstein, Thomas Zemen, Christoph F. Mecklenbräuker:
Scatterer Identification by Atomic Norm Minimization in Vehicular mm-Wave Propagation Channels. IEEE Access 10: 102334-102354 (2022) - [j18]Peter Gerstoft, Yihan Hu, Michael J. Bianco, Chaitanya Patil, Ardel Alegre, Yoav Freund, François Grondin:
Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks. IEEE Internet Things J. 9(6): 4259-4268 (2022) - [j17]Yongsung Park, Peter Gerstoft, Jeung-Hoon Lee:
Difference-Frequency MUSIC for DOAs. IEEE Signal Process. Lett. 29: 2612-2616 (2022) - [c50]Richard Bell, Fredric J. Harris, Peter Gerstoft, Dinesh Bharadia:
High Resolution Spectral Analysis and Signal Segregation Using the Polyphase Channelizer. IEEECONF 2022: 519-526 - [c49]Ruchi Pandey, Santosh Nannuru, Peter Gerstoft:
Experimental Validation of Wideband SBL Models for DOA Estimation. EUSIPCO 2022: 219-223 - [c48]Ruixian Liu, Michael J. Bianco, Peter Gerstoft, Bhaskar D. Rao:
Data-Driven Spatially Dependent PDE Identification. ICASSP 2022: 3383-3387 - [c47]Michael J. Bianco, Peter Gerstoft:
Semi-Supervised Source Localization With Residual Physical Learning. ICASSP 2022: 3608-3612 - [c46]Brian Whiteaker, Peter Gerstoft:
Memory in Echo State Networks and the Controllability Matrix Rank. ICASSP 2022: 3948-3952 - [c45]Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila:
DOA M-Estimation Using Sparse Bayesian Learning. ICASSP 2022: 4933-4937 - [c44]Yongsung Park, Florian Meyer, Peter Gerstoft:
Learning-Aided Initialization for Variational Bayesian DOA Estimation. ICASSP 2022: 4938-4942 - [c43]Yifan Wu, Michael B. Wakin, Peter Gerstoft:
Gridless DOA Estimation Under the Multi-Frequency Model. ICASSP 2022: 5982-5986 - [d1]Efren Fernandez-Grande, Michael J. Bianco, Sharon Gannot, Peter Gerstoft:
DTU three-channel room impulse response dataset for direction of arrival estimation 2020. IEEE DataPort, 2022
- [i17]Luke Wood, Kevin Anderson, Peter Gerstoft:
Deep Learning Object Detection Approaches to Source Identification. CoRR abs/2210.16173 (2022) - [i16]Daniel Romero, Peter Gerstoft, Hadi Givehchian, Dinesh Bharadia:
Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks. CoRR abs/2211.04269 (2022) - 2021
- [j16]Michael J. Bianco, Sharon Gannot, Efren Fernandez-Grande, Peter Gerstoft:
Semi-Supervised Source Localization in Reverberant Environments With Deep Generative Modeling. IEEE Access 9: 84956-84970 (2021) - [j15]Mark Wagner, Yongsung Park, Peter Gerstoft:
Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays. IEEE Trans. Signal Process. 69: 2144-2157 (2021) - [c42]Venkatesh Sathyanarayanan, Ankush Jolly, Peter Gerstoft:
Novel Training Methodology to Enhance Deep Learning Based Modulation Classification. ACSCC 2021: 356-360 - [c41]Brian Whiteaker, Peter Gerstoft:
Leaky Integrator Dynamical Systems and Reachable Sets. ICASSP 2021: 4025-4029 - [c40]Yongsung Park, Peter Gerstoft:
Alternating Projections Gridless Covariance-Based Estimation For DOA. ICASSP 2021: 4385-4389 - [c39]Yifan Wu, Roshan Sai Ayyalasomayajula, Michael J. Bianco, Dinesh Bharadia, Peter Gerstoft:
SSLIDE: Sound Source Localization for Indoors Based on Deep Learning. ICASSP 2021: 4680-4684 - [c38]Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila:
Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter Matrix. WSA 2021: 1-6 - [i15]Michael J. Bianco, Sharon Gannot, Efren Fernandez-Grande, Peter Gerstoft:
Semi-supervised source localization in reverberant environments with deep generative modeling. CoRR abs/2101.10636 (2021) - [i14]Peter Gerstoft, Yihan Hu, Chaitanya Patil, Ardel Alegre, Michael J. Bianco, Yoav Freund, François Grondin:
Audio scene monitoring using redundant un-localized microphone arrays. CoRR abs/2103.01830 (2021) - 2020
- [j14]Christoph F. Mecklenbräuker, Peter Gerstoft, Erich Zöchmann, Herbert Groll:
Robust estimation of DOA from array data at low SNR. Signal Process. 166 (2020) - [c37]Yongsung Park, Florian Meyer, Peter Gerstoft:
Sequential Sparse Bayesian Learning For Doa. ACSSC 2020: 78-81 - [c36]Herbert Groll, Daniel Schützenhöfer, Stefan Pratschner, Peter Gerstoft, Christoph F. Mecklenbräuker:
Sparse Approximation of an Outdoor-to-Indoor Massive MIMO Channel Measurement. ACSSC 2020: 88-91 - [c35]Venkatesh Sathyanarayanan, Mark Wagner, Peter Gerstoft:
Over The Air Performance of Deep Learning for Modulation Classification across Channel Conditions. ACSSC 2020: 157-161 - [c34]Florian Meyer, Yongsung Park, Peter Gerstoft:
Variational Bayesian Estimation of Time-Varying DOAs. FUSION 2020: 1-6 - [c33]Yongsung Park, Peter Gerstoft:
Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization. ICASSP 2020: 4612-4616 - [c32]Peter Gerstoft, Herbert Groll, Christoph F. Mecklenbräuker:
Parametric Bootstrapping of Array Data with A Generative Adversarial Network. SAM 2020: 1-5 - [c31]Michael J. Bianco, Sharon Gannot, Peter Gerstoft:
Semi-Supervised Source Localization with Deep Generative Modeling. MLSP 2020: 1-6 - [i13]Michael J. Bianco, Sharon Gannot, Peter Gerstoft:
Semi-supervised source localization with deep generative modeling. CoRR abs/2005.13163 (2020) - [i12]Emma Ozanich, Aaron Thode, Peter Gerstoft, Lauren A. Freeman, Simon E. Freeman:
Unsupervised clustering of coral reef bioacoustics. CoRR abs/2012.09982 (2020)
2010 – 2019
- 2019
- [j13]Kay L. Gemba, Santosh Nannuru, Peter Gerstoft:
Robust Ocean Acoustic Localization With Sparse Bayesian Learning. IEEE J. Sel. Top. Signal Process. 13(1): 49-60 (2019) - [j12]Santosh Nannuru, Kay L. Gemba, Peter Gerstoft, William S. Hodgkiss, Christoph F. Mecklenbräuker:
Sparse Bayesian learning with multiple dictionaries. Signal Process. 159: 159-170 (2019) - [j11]Peter Gerstoft, Santosh Nannuru, Christoph F. Mecklenbräuker, Geert Leus:
DOA Estimation in heteroscedastic noise. Signal Process. 161: 63-73 (2019) - [j10]Jiang Zhu, Qi Zhang, Peter Gerstoft, Mihai-Alin Badiu, Zhiwei Xu:
Grid-less variational Bayesian line spectral estimation with multiple measurement vectors. Signal Process. 161: 155-164 (2019) - [c30]Ruixian Liu, Michael J. Bianco, Peter Gerstoft:
Wave Equation Extraction from A Video Using Sparse Modeling. ACSSC 2019: 2160-2165 - [c29]Herbert Groll, Erich Zöchmann, Peter Gerstoft, Christoph F. Mecklenbräuker:
Global Robustness Characterization of DOA Estimators by Breakdown Detection. CAMSAP 2019: 36-40 - [c28]Christoph F. Mecklenbräuker, Peter Gerstoft:
Maximum-likelihood DOA estimation at low SNR in Laplace-like noise. EUSIPCO 2019: 1-5 - [c27]Mark Wagner, Peter Gerstoft, Yongsung Park:
Gridless DOA Estimation via. Alternating Projections. ICASSP 2019: 4215-4219 - [c26]Santosh Nannuru, Peter Gerstoft:
2D Beamforming on Sparse Arrays with Sparse Bayesian Learning. ICASSP 2019: 4355-4359 - [c25]Emma Ozanich, Peter Gerstoft, Haiqiang Niu:
A Deep Network for Single-Snapshot Direction of Arrival Estimation. MLSP 2019: 1-6 - [i11]Jing Chi, Xiaolei Li, Haozhong Wang, Dazhi Gao, Peter Gerstoft:
Sound source ranging using a feed-forward neural network with fitting-based early stopping. CoRR abs/1904.00583 (2019) - [i10]Michael J. Bianco, Peter Gerstoft, James Traer, Emma Ozanich, Marie A. Roch, Sharon Gannot, Charles-Alban Deledalle, Weichang Li:
Machine learning in acoustics: a review. CoRR abs/1905.04418 (2019) - 2018
- [j9]Michael Bianco, Peter Gerstoft:
Travel Time Tomography With Adaptive Dictionaries. IEEE Trans. Computational Imaging 4(4): 499-511 (2018) - [c24]Mark Wagner, Michael Bianco, Santosh Nannuru, Peter Gerstoft:
Array Shape Calibration Using Low Rank Projections. ACSSC 2018: 1103-1110 - [c23]Michael Bianco, Peter Gerstoft:
Adaptive Travel Time Tomography with Local Sparsity. ICASSP 2018: 1613-1617 - [c22]Peter Gerstoft, Santosh Nannuru, Christoph F. Mecklenbräuker, Geert Leus:
Doa Estimation in Heteroscedastic Noise with Sparse Bayesian Learning. ICASSP 2018: 3459-3463 - [c21]Santosh Nannuru, Peter Gerstoft, Ali Koochakzadeh, Piya Pal:
Sparse Bayesian Learning for DOA Estimation Using Co-Prime and Nested Arrays. SAM 2018: 519-523 - [c20]Christoph F. Mecklenbräuker, Peter Gerstoft, Geert Leus:
Sparse Bayesian Learning for DOA Estimation of Correlated Sources. SAM 2018: 533-537 - [c19]Herbert Groll, Christoph F. Mecklenbräuker, Peter Gerstoft:
Sparse Bayesian Learning for Directions of Arrival on an FPGA. SSP 2018: 623-627 - [i9]Qi Zhang, Jiang Zhu, Peter Gerstoft, Mihai-Alin Badiu, Zhiwei Xu:
Variational Bayesian Inference of Line Spectral Estimation with Multiple Measurement Vectors. CoRR abs/1803.06497 (2018) - 2017
- [j8]Christoph F. Mecklenbräuker, Peter Gerstoft, Erich Zöchmann:
c-LASSO and its dual for sparse signal estimation from array data. Signal Process. 130: 204-216 (2017) - [j7]Nima Riahi, Peter Gerstoft:
Using graph clustering to locate sources within a dense sensor array. Signal Process. 132: 110-120 (2017) - [c18]Nima Riahi, Peter Gerstoft, Christoph F. Mecklenbräuker:
Graph clustering for localization within a sensor array. EUSIPCO 2017: 1669-1673 - [c17]Santosh Nannuru, Kay L. Gemba, Peter Gerstoft:
Sparse Bayesian learning with multiple dictionaries. GlobalSIP 2017: 1190-1194 - [c16]Michael Bianco, Peter Gerstoft:
Regularization of geophysical inversion using dictionary learning. ICASSP 2017: 1582-1586 - [c15]Santosh Nannuru, Peter Gerstoft, Kay L. Gemba:
Sparse Bayesian learning with uncertain sensing matrix. ICASSP 2017: 3964-3968 - [i8]Haiqiang Niu, Peter Gerstoft, Emma Reeves:
Source localization in an ocean waveguide using supervised machine learning. CoRR abs/1701.08431 (2017) - [i7]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
- [j6]Peter Gerstoft, Christoph F. Mecklenbräuker, Angeliki Xenaki, Santosh Nannuru:
Multisnapshot Sparse Bayesian Learning for DOA. IEEE Signal Process. Lett. 23(10): 1469-1473 (2016) - [c14]Peter Gerstoft, Christoph F. Mecklenbräuker:
Wideband Sparse Bayesian Learning for DOA estimation from multiple snapshots. SAM 2016: 1-5 - [c13]Florian Xaver, Christoph F. Mecklenbräuker, Peter Gerstoft, Gerald Matz:
Weiss-Weinstein bounds for various priors. SAM 2016: 1-5 - [c12]Nima Riahi, Peter Gerstoft:
Locating sources in a dense array through network-based clustering. ITA 2016: 1-8 - [i6]Peter Gerstoft, Christoph F. Mecklenbräuker, Angeliki Xenaki:
Multi Snapshot Sparse Bayesian Learning for DOA Estimation. CoRR abs/1602.09120 (2016) - [i5]Michael Bianco, Peter Gerstoft:
Dictionary learning of sound speed profiles. CoRR abs/1609.04840 (2016) - 2015
- [c11]Peter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbräuker, Erich Zöchmann:
Multiple snapshot compressive beamforming. ACSSC 2015: 1774-1778 - [i4]Christoph F. Mecklenbräuker, Peter Gerstoft, Erich Zöchmann:
Beamforming of the Residuals is the LASSO's Dual. CoRR abs/1502.04643 (2015) - [i3]Peter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbräuker:
Single and multiple snapshot compressive beamforming. CoRR abs/1503.02339 (2015) - [i2]Angeliki Xenaki, Peter Gerstoft:
Grid-free compressive beamforming. CoRR abs/1504.01662 (2015) - [i1]Nima Riahi, Peter Gerstoft:
Resolving Weak Sources within a Dense Array using a Network Approach. CoRR abs/1508.05116 (2015) - 2013
- [j5]Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss:
Effect of Medium Attenuation on the Asymptotic Eigenvalues of Noise Covariance Matrices. IEEE Signal Process. Lett. 20(5): 435-438 (2013) - [j4]Florian Xaver, Peter Gerstoft, Gerald Matz, Christoph F. Mecklenbräuker:
Analytic Sequential Weiss-Weinstein Bounds. IEEE Trans. Signal Process. 61(20): 5049-5062 (2013) - [j3]Christoph F. Mecklenbräuker, Peter Gerstoft, Ashkan Panahi, Mats Viberg:
Sequential Bayesian Sparse Signal Reconstruction Using Array Data. IEEE Trans. Signal Process. 61(24): 6344-6354 (2013) - [c10]Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss:
Oceansub-bottom sensing using randommatrixmodels. ACSSC 2013: 1021-1025 - 2012
- [j2]Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss:
Asymptotic Eigenvalue Density of Noise Covariance Matrices. IEEE Trans. Signal Process. 60(7): 3415-3424 (2012) - [c9]Florian Xaver, Gerald Matz, Peter Gerstoft, Norbert Goertz:
Localization of acoustic sources utilizing a decentralized particle filter. ACSCC 2012: 276-280 - [c8]Peter Gerstoft, Christoph F. Mecklenbräuker, Huajian Yao:
Bayesian sparse sensing of the Japanese 2011 earthquake. ACSCC 2012: 281-285 - [c7]Peter Gerstoft:
Session TA8a1: Array signal processing II. ACSCC 2012: 840-842 - [c6]Florian Xaver, Gerald Matz, Peter Gerstoft, Christoph F. Mecklenbräuker:
Predictive state vector encoding for decentralized field estimation in sensor networks. ICASSP 2012: 2661-2664 - [c5]Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss:
Passive acoustic monitoring using random matrix theory. SSP 2012: 804-807 - 2011
- [j1]Florian Xaver, Gerald Matz, Peter Gerstoft, Christoph F. Mecklenbräuker:
Localization of acoustic sources using a decentralized particle filter. EURASIP J. Wirel. Commun. Netw. 2011: 94 (2011) - [c4]Christoph F. Mecklenbräuker, Peter Gerstoft, Huajian Yao:
Bayesian sparse wideband source reconstruction of Japanese 2011 earthquake. CAMSAP 2011: 273-276
1990 – 1999
- 1999
- [c3]Peter Gerstoft, Donald F. Gingras:
Source and environmental parameter estimation using electromagnetic matched field processing. ICASSP 1999: 2111-2114 - 1997
- [c2]Christoph F. Mecklenbräuker, Peter Gerstoft, Pei-Jung Chung, Johann F. Böhme:
Generalized likelihood ratio test for selecting a geo-acoustic environmental model. ICASSP 1997: 463-466 - [c1]Donald F. Gingras, Peter Gerstoft, Neil L. Gerr, Christoph F. Mecklenbräuker:
Electromagnetic matched field processing for source localization. ICASSP 1997: 479-482
Coauthor Index
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