Peter Gerstoft

133 papers A* 1A 1B 1C 1Misc 41Journal 53Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anomalous activity detection using RF emanations. Signal Process. Venkatesh Sathyanarayanan, Peter Gerstoft
2026	J	`jnl`	Scale-covariant spiking wavelets. CoRR Jens Egholm Pedersen, Tony Lindeberg, Peter Gerstoft
2025	Misc	`conf`	3D TDOA-AOA Quaternion Based Acoustic SLAM for Drone Localization and Source Mapping. ICASSP Hala Abualsaud, Peter Gerstoft
2025	Misc	`conf`	Atom-Constrained Maximum Likelihood Gridless DOA with Wirtinger Gradients. ICASSP Peter Gerstoft, Yongsung Park
2025	Misc	`conf`	Basis Function Learning for Variable-Length and Continuous-Indexed Signals. ICASSP Siyuan Li, Lei Cheng, Feng Yin, Jianlong Li, Peter Gerstoft
2025	J	`jnl`	Differentiable physics for sound field reconstruction. CoRR Samuel A. Verburg, Efren Fernandez-Grande, Peter Gerstoft
2025	—	`conf`	Frequency-Stable Beamforming Over Wireless MIMO Channels. WSA Christoph F. Mecklenbräuker, Peter Gerstoft, Stefan Rotter, Troels Pedersen
2025	J	`jnl`	Hankel-FNO: Fast Underwater Acoustic Charting Via Physics-Encoded Fourier Neural Operator. CoRR Yifan Sun, Lei Cheng, Jianlong Li, Peter Gerstoft
2025	J	`jnl`	Machine Learning in Acoustics: A Review and Open-Source Repository. CoRR Ryan A. McCarthy, You Zhang, Samuel A. Verburg, William F. Jenkins, Peter Gerstoft
2025	—	`conf`	Optimal Blind Calibration of Uniform Linear Arrays. EUSIPCO Amogh Panchagatti, Peter Gerstoft, Amir Weiss
2025	Misc	`conf`	Physics-Informed Neural Networks for Ocean Acoustic Field Prediction with Envelope Smoothing. ICASSP Yongsung Park, Peter Gerstoft, Seunghyun Yoon, Woojae Seong
2025	—	`conf`	Real, Fake, or Manipulated? Detecting Machine-Influenced Text. EMNLP (Findings) Yitong Wang, Zhongping Zhang, Margherita Piana, Zheng Zhou, Peter Gerstoft, Bryan A. Plummer
2025	J	`jnl`	Real, Fake, or Manipulated? Detecting Machine-Influenced Text. CoRR Yitong Wang, Zhongping Zhang, Margherita Piana, Zheng Zhou, Peter Gerstoft, Bryan A. Plummer
2025	Misc	`conf`	Real-time Adversarial Attack to Deep Learning-based Wi-Fi Human Activity Recognition. ICASSP Byungjun Kim, Amogh Panchagatti, Peter Gerstoft
2025	—	`conf`	Scaling Continuous Kernels with Sparse Fourier Domain Learning. AIPR Clayton A. Harper, Luke Wood, Peter Gerstoft, Mitchell A. Thornton, Eric C. Larson
2025	Misc	`conf`	Sequential DOA Trajectory Estimation using Deep Complex Network and Residual Signals. ICASSP Shreyas Jaiswal, Peter Gerstoft, Santosh Nannuru
2025	J	`jnl`	When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning. CoRR Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis
2025	J	`jnl`	When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning. IEEE Trans. Signal Process. Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis
2024	—	`conf`	Atomic Norm Denoising for Multi-Frequency-Snapshot Doa Estimation. SAM Yongsung Park, Peter Gerstoft, Yifan Wu, Michael B. Wakin
2024	Misc	`conf`	Bayesian Optimization with Gaussian Processes for Robust Localization. ICASSP William F. Jenkins, Peter Gerstoft
2024	—	`conf`	Channel Estimation in Time-Varying Ocean Environments Using OTFS Modulation. IEEECONF Amogh Panchagatti, Byungjun Kim, Peter Gerstoft, Christoph F. Mecklenbräukcr
2024	A*	`conf`	Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing. INFOCOM Byungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft
2024	J	`jnl`	Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing. CoRR Byungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft
2024	—	`conf`	Deep-Learning-based Spatial Acoustic Properties Recovery from Incomplete Signals. SAM Ruixian Liu, Peter Gerstoft
2024	—	`conf`	Detection and Characterization of Unintended RF Emissions on Wideband Real Data. SPCOM Venkatesh Sathyanarayanan, Peter Gerstoft
2024	J	`jnl`	Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks. CoRR Xenofon Karakonstantis, Efren Fernandez-Grande, Peter Gerstoft
2024	Misc	`conf`	Fusion of Multi-Resolution Seismic Tomography Maps with Physics-Informed Probability Graphical Models. ICASSP Zheng Zhou, Peter Gerstoft, Kim Olsen
2024	—	`conf`	Joint Estimation of Channel, Range, and Doppler for FMCW Radar with Sparse Bayesian Learning. SPAWC Mehdi Ashury, Fangqing Xiao, José Rodríguez-Piñeiro, Dirk Slock, Peter Gerstoft, Christoph F. Mecklenbräuker, Dominik Lungenschmied
2024	Misc	`conf`	Multi-Source DOA Estimation With Statistical Coverage Guarantees. ICASSP Ishan D. Khurjekar, Peter Gerstoft
2024	—	`conf`	Multipole Source Capture Using Multiple Dictionary Sparse Bayesian Learning. IEEECONF Alex Tung, Peter Gerstoft
2024	J	`jnl`	Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA. IEEE Trans. Signal Process. Yifan Wu, Michael B. Wakin, Peter Gerstoft
2024	Misc	`conf`	Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA. ICASSP Yifan Wu, Michael B. Wakin, Peter Gerstoft, Yongsung Park
2024	J	`jnl`	Robust and sparse M-estimation of DOA. Signal Process. Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park
2024	J	`jnl`	Scaling Continuous Kernels with Sparse Fourier Domain Learning. CoRR Clayton A. Harper, Luke Wood, Peter Gerstoft, Eric C. Larson
2024	B	`conf`	Spoofing Attack Detection in the Physical Layer with Robustness to User Movement. WCNC Daniel Romero, Tien Ngoc Ha, Peter Gerstoft
2023	A	`conf`	Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum Sensing. MSWiM Byungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft
2023	—	`conf`	DOA Uncertainty Quantification With Conformal Prediction. MLSP Ishan D. Khurjekar, Peter Gerstoft
2023	Misc	`conf`	Data Centric Approach to Modulation Classification. COMSNETS Venkatesh Sathyanarayanan, Peter Gerstoft, Aly El Gamal
2023	—	`conf`	Deep Learning-Based Modulation Classification for OFDM Systems Without Symbol-Level Synchronization. ICASSP Workshops Byungjun Kim, Venkatesh Sathyanarayanan, Christoph F. Mecklenbräuker, Peter Gerstoft
2023	Misc	`conf`	Direction-of-Arrival Estimation Using Gaussian Process Interpolation. ICASSP Ishan D. Khurjekar, Peter Gerstoft, Christoph F. Mecklenbräuker, Zoi-Heleni Michalopoulou
2023	—	`conf`	Empiric Bayesian Inversion of Evaporation Ducts From Synthetic Phased-Array Data. ICASSP Workshops Ted Rogers, Peter Gerstoft
2023	J	`jnl`	Gridless DOA Estimation With Multiple Frequencies. IEEE Trans. Signal Process. Yifan Wu, Michael B. Wakin, Peter Gerstoft
2023	J	`jnl`	RML22: Realistic Dataset Generation for Wireless Modulation Classification. IEEE Trans. Wirel. Commun. Venkatesh Sathyanarayanan, Peter Gerstoft, Aly El Gamal
2023	—	`conf`	Robust Sparse Bayesian Learning for DOA. EUSIPCO Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park
2023	J	`jnl`	SD-PINN: Deep Learning based Spatially Dependent PDEs Recovery. CoRR Ruixian Liu, Peter Gerstoft
2023	Misc	`conf`	SD-PINN: Physics Informed Neural Networks for Spatially Dependent PDES. ICASSP Ruixian Liu, Peter Gerstoft
2023	J	`jnl`	Spoofing Attack Detection in the Physical Layer with Robustness to User Movement. CoRR Daniel Romero, Tien Ngoc Ha, Peter Gerstoft
2022	J	`jnl`	Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks. IEEE Internet Things J. Peter Gerstoft, Yihan Hu, Michael J. Bianco, Chaitanya Patil, Ardel Alegre, Yoav Freund, François Grondin
2022	Misc	`conf`	DOA M-Estimation Using Sparse Bayesian Learning. ICASSP Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila
2022	Misc	`conf`	Data-Driven Spatially Dependent PDE Identification. ICASSP Ruixian Liu, Michael J. Bianco, Peter Gerstoft, Bhaskar D. Rao
2022	J	`jnl`	Deep Learning Object Detection Approaches to Source Identification. CoRR Luke Wood, Kevin Anderson, Peter Gerstoft
2022	J	`jnl`	Difference-Frequency MUSIC for DOAs. IEEE Signal Process. Lett. Yongsung Park, Peter Gerstoft, Jeung-Hoon Lee
2022	—	`conf`	Experimental Validation of Wideband SBL Models for DOA Estimation. EUSIPCO Ruchi Pandey, Santosh Nannuru, Peter Gerstoft
2022	Misc	`conf`	Gridless DOA Estimation Under the Multi-Frequency Model. ICASSP Yifan Wu, Michael B. Wakin, Peter Gerstoft
2022	—	`conf`	High Resolution Spectral Analysis and Signal Segregation Using the Polyphase Channelizer. IEEECONF Richard Bell, Fredric J. Harris, Peter Gerstoft, Dinesh Bharadia
2022	Misc	`conf`	Learning-Aided Initialization for Variational Bayesian DOA Estimation. ICASSP Yongsung Park, Florian Meyer, Peter Gerstoft
2022	Misc	`conf`	Memory in Echo State Networks and the Controllability Matrix Rank. ICASSP Brian Whiteaker, Peter Gerstoft
2022	J	`jnl`	Scatterer Identification by Atomic Norm Minimization in Vehicular mm-Wave Propagation Channels. IEEE Access Herbert Groll, Peter Gerstoft, Markus Hofer, Jiri Blumenstein, Thomas Zemen, Christoph F. Mecklenbräuker
2022	Misc	`conf`	Semi-Supervised Source Localization With Residual Physical Learning. ICASSP Michael J. Bianco, Peter Gerstoft
2022	J	`jnl`	Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks. CoRR Daniel Romero, Peter Gerstoft, Hadi Givehchian, Dinesh Bharadia
2021	Misc	`conf`	Alternating Projections Gridless Covariance-Based Estimation For DOA. ICASSP Yongsung Park, Peter Gerstoft
2021	J	`jnl`	Audio scene monitoring using redundant un-localized microphone arrays. CoRR Peter Gerstoft, Yihan Hu, Chaitanya Patil, Ardel Alegre, Michael J. Bianco, Yoav Freund, François Grondin
2021	J	`jnl`	Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays. IEEE Trans. Signal Process. Mark Wagner, Yongsung Park, Peter Gerstoft
2021	Misc	`conf`	Leaky Integrator Dynamical Systems and Reachable Sets. ICASSP Brian Whiteaker, Peter Gerstoft
2021	—	`conf`	Novel Training Methodology to Enhance Deep Learning Based Modulation Classification. ACSCC Venkatesh Sathyanarayanan, Ankush Jolly, Peter Gerstoft
2021	—	`conf`	Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter Matrix. WSA Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila
2021	Misc	`conf`	SSLIDE: Sound Source Localization for Indoors Based on Deep Learning. ICASSP Yifan Wu, Roshan Sai Ayyalasomayajula, Michael J. Bianco, Dinesh Bharadia, Peter Gerstoft
2021	J	`jnl`	Semi-Supervised Source Localization in Reverberant Environments With Deep Generative Modeling. IEEE Access Michael J. Bianco, Sharon Gannot, Efren Fernandez-Grande, Peter Gerstoft
2021	J	`jnl`	Semi-supervised source localization in reverberant environments with deep generative modeling. CoRR Michael J. Bianco, Sharon Gannot, Efren Fernandez-Grande, Peter Gerstoft
2020	Misc	`conf`	Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization. ICASSP Yongsung Park, Peter Gerstoft
2020	Misc	`conf`	Over The Air Performance of Deep Learning for Modulation Classification across Channel Conditions. ACSSC Venkatesh Sathyanarayanan, Mark Wagner, Peter Gerstoft
2020	—	`conf`	Parametric Bootstrapping of Array Data with A Generative Adversarial Network. SAM Peter Gerstoft, Herbert Groll, Christoph F. Mecklenbräuker
2020	J	`jnl`	Robust estimation of DOA from array data at low SNR. Signal Process. Christoph F. Mecklenbräuker, Peter Gerstoft, Erich Zöchmann, Herbert Groll
2020	—	`conf`	Semi-Supervised Source Localization with Deep Generative Modeling. MLSP Michael J. Bianco, Sharon Gannot, Peter Gerstoft
2020	J	`jnl`	Semi-supervised source localization with deep generative modeling. CoRR Michael J. Bianco, Sharon Gannot, Peter Gerstoft
2020	Misc	`conf`	Sequential Sparse Bayesian Learning For Doa. ACSSC Yongsung Park, Florian Meyer, Peter Gerstoft
2020	Misc	`conf`	Sparse Approximation of an Outdoor-to-Indoor Massive MIMO Channel Measurement. ACSSC Herbert Groll, Daniel Schützenhöfer, Stefan Pratschner, Peter Gerstoft, Christoph F. Mecklenbräuker
2020	J	`jnl`	Unsupervised clustering of coral reef bioacoustics. CoRR Emma Ozanich, Aaron Thode, Peter Gerstoft, Lauren A. Freeman, Simon E. Freeman
2020	C	`conf`	Variational Bayesian Estimation of Time-Varying DOAs. FUSION Florian Meyer, Yongsung Park, Peter Gerstoft
2019	Misc	`conf`	2D Beamforming on Sparse Arrays with Sparse Bayesian Learning. ICASSP Santosh Nannuru, Peter Gerstoft
2019	—	`conf`	A Deep Network for Single-Snapshot Direction of Arrival Estimation. MLSP Emma Ozanich, Peter Gerstoft, Haiqiang Niu
2019	J	`jnl`	DOA Estimation in heteroscedastic noise. Signal Process. Peter Gerstoft, Santosh Nannuru, Christoph F. Mecklenbräuker, Geert Leus
2019	—	`conf`	Global Robustness Characterization of DOA Estimators by Breakdown Detection. CAMSAP Herbert Groll, Erich Zöchmann, Peter Gerstoft, Christoph F. Mecklenbräuker
2019	J	`jnl`	Grid-less variational Bayesian line spectral estimation with multiple measurement vectors. Signal Process. Jiang Zhu, Qi Zhang, Peter Gerstoft, Mihai-Alin Badiu, Zhiwei Xu
2019	Misc	`conf`	Gridless DOA Estimation via. Alternating Projections. ICASSP Mark Wagner, Peter Gerstoft, Yongsung Park
2019	J	`jnl`	Machine learning in acoustics: a review. CoRR Michael J. Bianco, Peter Gerstoft, James Traer, Emma Ozanich, Marie A. Roch, Sharon Gannot, Charles-Alban Deledalle, Weichang Li
2019	—	`conf`	Maximum-likelihood DOA estimation at low SNR in Laplace-like noise. EUSIPCO Christoph F. Mecklenbräuker, Peter Gerstoft
2019	J	`jnl`	Robust Ocean Acoustic Localization With Sparse Bayesian Learning. IEEE J. Sel. Top. Signal Process. Kay L. Gemba, Santosh Nannuru, Peter Gerstoft
2019	J	`jnl`	Sound source ranging using a feed-forward neural network with fitting-based early stopping. CoRR Jing Chi, Xiaolei Li, Haozhong Wang, Dazhi Gao, Peter Gerstoft
2019	J	`jnl`	Sparse Bayesian learning with multiple dictionaries. Signal Process. Santosh Nannuru, Kay L. Gemba, Peter Gerstoft, William S. Hodgkiss, Christoph F. Mecklenbräuker
2019	Misc	`conf`	Wave Equation Extraction from A Video Using Sparse Modeling. ACSSC Ruixian Liu, Michael J. Bianco, Peter Gerstoft
2018	Misc	`conf`	Adaptive Travel Time Tomography with Local Sparsity. ICASSP Michael Bianco, Peter Gerstoft
2018	Misc	`conf`	Array Shape Calibration Using Low Rank Projections. ACSSC Mark Wagner, Michael Bianco, Santosh Nannuru, Peter Gerstoft
2018	Misc	`conf`	Doa Estimation in Heteroscedastic Noise with Sparse Bayesian Learning. ICASSP Peter Gerstoft, Santosh Nannuru, Christoph F. Mecklenbräuker, Geert Leus
2018	—	`conf`	Sparse Bayesian Learning for DOA Estimation Using Co-Prime and Nested Arrays. SAM Santosh Nannuru, Peter Gerstoft, Ali Koochakzadeh, Piya Pal
2018	—	`conf`	Sparse Bayesian Learning for DOA Estimation of Correlated Sources. SAM Christoph F. Mecklenbräuker, Peter Gerstoft, Geert Leus
2018	—	`conf`	Sparse Bayesian Learning for Directions of Arrival on an FPGA. SSP Herbert Groll, Christoph F. Mecklenbräuker, Peter Gerstoft
2018	J	`jnl`	Travel Time Tomography With Adaptive Dictionaries. IEEE Trans. Computational Imaging Michael Bianco, Peter Gerstoft
2018	J	`jnl`	Variational Bayesian Inference of Line Spectral Estimation with Multiple Measurement Vectors. CoRR Qi Zhang, Jiang Zhu, Peter Gerstoft, Mihai-Alin Badiu, Zhiwei Xu
2017	—	`conf`	Graph clustering for localization within a sensor array. EUSIPCO Nima Riahi, Peter Gerstoft, Christoph F. Mecklenbräuker
2017	J	`jnl`	Multi-frequency sparse Bayesian learning with uncertainty models. CoRR Santosh Nannuru, Kay L. Gemba, Peter Gerstoft, William S. Hodgkiss, Christoph F. Mecklenbräuker
2017	Misc	`conf`	Regularization of geophysical inversion using dictionary learning. ICASSP Michael Bianco, Peter Gerstoft
2017	J	`jnl`	Source localization in an ocean waveguide using supervised machine learning. CoRR Haiqiang Niu, Peter Gerstoft, Emma Reeves
2017	—	`conf`	Sparse Bayesian learning with multiple dictionaries. GlobalSIP Santosh Nannuru, Kay L. Gemba, Peter Gerstoft
2017	Misc	`conf`	Sparse Bayesian learning with uncertain sensing matrix. ICASSP Santosh Nannuru, Peter Gerstoft, Kay L. Gemba
2017	J	`jnl`	Using graph clustering to locate sources within a dense sensor array. Signal Process. Nima Riahi, Peter Gerstoft
2017	J	`jnl`	c-LASSO and its dual for sparse signal estimation from array data. Signal Process. Christoph F. Mecklenbräuker, Peter Gerstoft, Erich Zöchmann
2016	J	`jnl`	Dictionary learning of sound speed profiles. CoRR Michael Bianco, Peter Gerstoft
2016	Misc	`conf`	Locating sources in a dense array through network-based clustering. ITA Nima Riahi, Peter Gerstoft
2016	J	`jnl`	Multi Snapshot Sparse Bayesian Learning for DOA Estimation. CoRR Peter Gerstoft, Christoph F. Mecklenbräuker, Angeliki Xenaki
2016	J	`jnl`	Multisnapshot Sparse Bayesian Learning for DOA. IEEE Signal Process. Lett. Peter Gerstoft, Christoph F. Mecklenbräuker, Angeliki Xenaki, Santosh Nannuru
2016	—	`conf`	Weiss-Weinstein bounds for various priors. SAM Florian Xaver, Christoph F. Mecklenbräuker, Peter Gerstoft, Gerald Matz
2016	—	`conf`	Wideband Sparse Bayesian Learning for DOA estimation from multiple snapshots. SAM Peter Gerstoft, Christoph F. Mecklenbräuker
2015	J	`jnl`	Beamforming of the Residuals is the LASSO's Dual. CoRR Christoph F. Mecklenbräuker, Peter Gerstoft, Erich Zöchmann
2015	J	`jnl`	Grid-free compressive beamforming. CoRR Angeliki Xenaki, Peter Gerstoft
2015	Misc	`conf`	Multiple snapshot compressive beamforming. ACSSC Peter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbräuker, Erich Zöchmann
2015	J	`jnl`	Resolving Weak Sources within a Dense Array using a Network Approach. CoRR Nima Riahi, Peter Gerstoft
2015	J	`jnl`	Single and multiple snapshot compressive beamforming. CoRR Peter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbräuker
2013	J	`jnl`	Analytic Sequential Weiss-Weinstein Bounds. IEEE Trans. Signal Process. Florian Xaver, Peter Gerstoft, Gerald Matz, Christoph F. Mecklenbräuker
2013	J	`jnl`	Effect of Medium Attenuation on the Asymptotic Eigenvalues of Noise Covariance Matrices. IEEE Signal Process. Lett. Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss
2013	Misc	`conf`	Oceansub-bottom sensing using randommatrixmodels. ACSSC Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss
2013	J	`jnl`	Sequential Bayesian Sparse Signal Reconstruction Using Array Data. IEEE Trans. Signal Process. Christoph F. Mecklenbräuker, Peter Gerstoft, Ashkan Panahi, Mats Viberg
2012	J	`jnl`	Asymptotic Eigenvalue Density of Noise Covariance Matrices. IEEE Trans. Signal Process. Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss
2012	—	`conf`	Bayesian sparse sensing of the Japanese 2011 earthquake. ACSCC Peter Gerstoft, Christoph F. Mecklenbräuker, Huajian Yao
2012	—	`conf`	Localization of acoustic sources utilizing a decentralized particle filter. ACSCC Florian Xaver, Gerald Matz, Peter Gerstoft, Norbert Goertz
2012	—	`conf`	Passive acoustic monitoring using random matrix theory. SSP Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss
2012	Misc	`conf`	Predictive state vector encoding for decentralized field estimation in sensor networks. ICASSP Florian Xaver, Gerald Matz, Peter Gerstoft, Christoph F. Mecklenbräuker
2012	—	`conf`	Session TA8a1: Array signal processing II. ACSCC Peter Gerstoft
2011	—	`conf`	Bayesian sparse wideband source reconstruction of Japanese 2011 earthquake. CAMSAP Christoph F. Mecklenbräuker, Peter Gerstoft, Huajian Yao
2011	J	`jnl`	Localization of acoustic sources using a decentralized particle filter. EURASIP J. Wirel. Commun. Netw. Florian Xaver, Gerald Matz, Peter Gerstoft, Christoph F. Mecklenbräuker
1999	Misc	`conf`	Source and environmental parameter estimation using electromagnetic matched field processing. ICASSP Peter Gerstoft, Donald F. Gingras
1997	Misc	`conf`	Electromagnetic matched field processing for source localization. ICASSP Donald F. Gingras, Peter Gerstoft, Neil L. Gerr, Christoph F. Mecklenbräuker
1997	Misc	`conf`	Generalized likelihood ratio test for selecting a geo-acoustic environmental model. ICASSP Christoph F. Mecklenbräuker, Peter Gerstoft, Pei-Jung Chung, Johann F. Böhme