Electromagnetic matched field processing for source localization. - Donald F. Gingras; Peter Gerstoft; Neil L. Gerr; Christoph F. Mecklenbräuker (ICASSP, 1997)

Generalized likelihood ratio test for selecting a geo-acoustic environmental model. - Christoph F. Mecklenbräuker; Peter Gerstoft; Pei-Jung Chung; Johann F. Böhme (ICASSP, 1997)

Source and environmental parameter estimation using electromagnetic matched field processing. - Peter Gerstoft; Donald F. Gingras (ICASSP, 1999)

Bayesian sparse wideband source reconstruction of Japanese 2011 earthquake. - Christoph F. Mecklenbräuker; Peter Gerstoft; Huajian Yao (CAMSAP, 2011)

Localization of acoustic sources using a decentralized particle filter. - Florian Xaver; Gerald Matz; Peter Gerstoft; Christoph F. Mecklenbräuker (EURASIP J. Wirel. Commun. Netw., 2011)

Session TA8a1: Array signal processing II. - Peter Gerstoft (ACSCC, 2012)

Bayesian sparse sensing of the Japanese 2011 earthquake. - Peter Gerstoft; Christoph F. Mecklenbräuker; Huajian Yao (ACSCC, 2012)

Localization of acoustic sources utilizing a decentralized particle filter. - Florian Xaver; Gerald Matz; Peter Gerstoft; Norbert Goertz (ACSCC, 2012)

Predictive state vector encoding for decentralized field estimation in sensor networks. - Florian Xaver; Gerald Matz; Peter Gerstoft; Christoph F. Mecklenbräuker (ICASSP, 2012)

Passive acoustic monitoring using random matrix theory. - Ravishankar Menon; Peter Gerstoft; William S. Hodgkiss (SSP, 2012)

Asymptotic Eigenvalue Density of Noise Covariance Matrices. - Ravishankar Menon; Peter Gerstoft; William S. Hodgkiss (IEEE Trans. Signal Process., 2012)

Oceansub-bottom sensing using randommatrixmodels. - Ravishankar Menon; Peter Gerstoft; William S. Hodgkiss (ACSSC, 2013)

Effect of Medium Attenuation on the Asymptotic Eigenvalues of Noise Covariance Matrices. - Ravishankar Menon; Peter Gerstoft; William S. Hodgkiss (IEEE Signal Process. Lett., 2013)

Sequential Bayesian Sparse Signal Reconstruction Using Array Data. - Christoph F. Mecklenbräuker; Peter Gerstoft; Ashkan Panahi; Mats Viberg (IEEE Trans. Signal Process., 2013)

Analytic Sequential Weiss-Weinstein Bounds. - Florian Xaver; Peter Gerstoft; Gerald Matz; Christoph F. Mecklenbräuker (IEEE Trans. Signal Process., 2013)

Multiple snapshot compressive beamforming. - Peter Gerstoft; Angeliki Xenaki; Christoph F. Mecklenbräuker; Erich Zöchmann (ACSSC, 2015)

Single and multiple snapshot compressive beamforming. - Peter Gerstoft; Angeliki Xenaki; Christoph F. Mecklenbräuker (CoRR, 2015)

Beamforming of the Residuals is the LASSO's Dual. - Christoph F. Mecklenbräuker; Peter Gerstoft; Erich Zöchmann (CoRR, 2015)

Resolving Weak Sources within a Dense Array using a Network Approach. - Nima Riahi; Peter Gerstoft (CoRR, 2015)

Grid-free compressive beamforming. - Angeliki Xenaki; Peter Gerstoft (CoRR, 2015)

Wideband Sparse Bayesian Learning for DOA estimation from multiple snapshots. - Peter Gerstoft; Christoph F. Mecklenbräuker (SAM, 2016)

Weiss-Weinstein bounds for various priors. - Florian Xaver; Christoph F. Mecklenbräuker; Peter Gerstoft; Gerald Matz (SAM, 2016)

Locating sources in a dense array through network-based clustering. - Nima Riahi; Peter Gerstoft (ITA, 2016)

Dictionary learning of sound speed profiles. - Michael Bianco; Peter Gerstoft (CoRR, 2016)

Multi Snapshot Sparse Bayesian Learning for DOA Estimation. - Peter Gerstoft; Christoph F. Mecklenbräuker; Angeliki Xenaki (CoRR, 2016)

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

Graph clustering for localization within a sensor array. - Nima Riahi; Peter Gerstoft; Christoph F. Mecklenbräuker (EUSIPCO, 2017)

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

Regularization of geophysical inversion using dictionary learning. - Michael Bianco; Peter Gerstoft (ICASSP, 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)

Source localization in an ocean waveguide using supervised machine learning. - Haiqiang Niu; Peter Gerstoft; Emma Reeves (CoRR, 2017)

c-LASSO and its dual for sparse signal estimation from array data. - Christoph F. Mecklenbräuker; Peter Gerstoft; Erich Zöchmann (Signal Process., 2017)

Using graph clustering to locate sources within a dense sensor array. - Nima Riahi; Peter Gerstoft (Signal Process., 2017)

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

Adaptive Travel Time Tomography with Local Sparsity. - Michael Bianco; Peter Gerstoft (ICASSP, 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 of Correlated Sources. - Christoph F. Mecklenbräuker; Peter Gerstoft; Geert Leus (SAM, 2018)

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

Sparse Bayesian Learning for Directions of Arrival on an FPGA. - Herbert Groll; Christoph F. Mecklenbräuker; Peter Gerstoft (SSP, 2018)

Variational Bayesian Inference of Line Spectral Estimation with Multiple Measurement Vectors. - Qi Zhang 081; Jiang Zhu 004; Peter Gerstoft; Mihai-Alin Badiu; Zhiwei Xu 003 (CoRR, 2018)

Travel Time Tomography With Adaptive Dictionaries. - Michael Bianco; Peter Gerstoft (IEEE Trans. Computational Imaging, 2018)

Wave Equation Extraction from A Video Using Sparse Modeling. - Ruixian Liu; Michael J. Bianco; Peter Gerstoft (ACSSC, 2019)

Global Robustness Characterization of DOA Estimators by Breakdown Detection. - Herbert Groll; Erich Zöchmann; Peter Gerstoft; Christoph F. Mecklenbräuker (CAMSAP, 2019)

Maximum-likelihood DOA estimation at low SNR in Laplace-like noise. - Christoph F. Mecklenbräuker; Peter Gerstoft (EUSIPCO, 2019)

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

Gridless DOA Estimation via. Alternating Projections. - Mark Wagner; Peter Gerstoft; Yongsung Park (ICASSP, 2019)

A Deep Network for Single-Snapshot Direction of Arrival Estimation. - Emma Ozanich; Peter Gerstoft; Haiqiang Niu (MLSP, 2019)

Sound source ranging using a feed-forward neural network with fitting-based early stopping. - Jing Chi; Xiaolei Li; Haozhong Wang; Dazhi Gao; Peter Gerstoft (CoRR, 2019)

Machine learning in acoustics: a review. - Michael J. Bianco; Peter Gerstoft; James Traer; Emma Ozanich; Marie A. Roch; Sharon Gannot; Charles-Alban Deledalle; Weichang Li (CoRR, 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)

Grid-less variational Bayesian line spectral estimation with multiple measurement vectors. - Jiang Zhu 004; Qi Zhang 081; Peter Gerstoft; Mihai-Alin Badiu; Zhiwei Xu 003 (Signal Process., 2019)

Sparse Approximation of an Outdoor-to-Indoor Massive MIMO Channel Measurement. - Herbert Groll; Daniel Schützenhöfer; Stefan Pratschner; Peter Gerstoft; Christoph F. Mecklenbräuker (ACSSC, 2020)

Sequential Sparse Bayesian Learning For Doa. - Yongsung Park; Florian Meyer; Peter Gerstoft (ACSSC, 2020)

Over The Air Performance of Deep Learning for Modulation Classification across Channel Conditions. - Venkatesh Sathyanarayanan; Mark Wagner; Peter Gerstoft (ACSSC, 2020)

Variational Bayesian Estimation of Time-Varying DOAs. - Florian Meyer; Yongsung Park; Peter Gerstoft (FUSION, 2020)

Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization. - Yongsung Park; Peter Gerstoft (ICASSP, 2020)

Parametric Bootstrapping of Array Data with A Generative Adversarial Network. - Peter Gerstoft; Herbert Groll; Christoph F. Mecklenbräuker (SAM, 2020)

Semi-Supervised Source Localization with Deep Generative Modeling. - Michael J. Bianco; Sharon Gannot; Peter Gerstoft (MLSP, 2020)

Unsupervised clustering of coral reef bioacoustics. - Emma Ozanich; Aaron Thode; Peter Gerstoft; Lauren A. Freeman; Simon E. Freeman (CoRR, 2020)

Robust estimation of DOA from array data at low SNR. - Christoph F. Mecklenbräuker; Peter Gerstoft; Erich Zöchmann; Herbert Groll (Signal Process., 2020)

Novel Training Methodology to Enhance Deep Learning Based Modulation Classification. - Venkatesh Sathyanarayanan; Ankush Jolly; Peter Gerstoft (ACSCC, 2021)

Alternating Projections Gridless Covariance-Based Estimation For DOA. - Yongsung Park; Peter Gerstoft (ICASSP, 2021)

Leaky Integrator Dynamical Systems and Reachable Sets. - Brian Whiteaker; Peter Gerstoft (ICASSP, 2021)

SSLIDE: Sound Source Localization for Indoors Based on Deep Learning. - Yifan Wu; Roshan Sai Ayyalasomayajula; Michael J. Bianco; Dinesh Bharadia; Peter Gerstoft (ICASSP, 2021)

Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter Matrix. - Christoph F. Mecklenbräuker; Peter Gerstoft; Esa Ollila (WSA, 2021)

Semi-Supervised Source Localization in Reverberant Environments With Deep Generative Modeling. - Michael J. Bianco; Sharon Gannot; Efren Fernandez-Grande; Peter Gerstoft (IEEE Access, 2021)

Audio scene monitoring using redundant un-localized microphone arrays. - Peter Gerstoft; Yihan Hu 002; Chaitanya Patil; Ardel Alegre; Michael J. Bianco; Yoav Freund; François Grondin (CoRR, 2021)

Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays. - Mark Wagner; Yongsung Park; Peter Gerstoft (IEEE Trans. Signal Process., 2021)

High Resolution Spectral Analysis and Signal Segregation Using the Polyphase Channelizer. - Richard Bell; Fredric J. Harris; Peter Gerstoft; Dinesh Bharadia (IEEECONF, 2022)

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

Semi-Supervised Source Localization With Residual Physical Learning. - Michael J. Bianco; Peter Gerstoft (ICASSP, 2022)

Data-Driven Spatially Dependent PDE Identification. - Ruixian Liu; Michael J. Bianco; Peter Gerstoft; Bhaskar D. Rao (ICASSP, 2022)

DOA M-Estimation Using Sparse Bayesian Learning. - Christoph F. Mecklenbräuker; Peter Gerstoft; Esa Ollila (ICASSP, 2022)

Learning-Aided Initialization for Variational Bayesian DOA Estimation. - Yongsung Park; Florian Meyer; Peter Gerstoft (ICASSP, 2022)

Memory in Echo State Networks and the Controllability Matrix Rank. - Brian Whiteaker; Peter Gerstoft (ICASSP, 2022)

Gridless DOA Estimation Under the Multi-Frequency Model. - Yifan Wu; Michael B. Wakin; Peter Gerstoft (ICASSP, 2022)

Scatterer Identification by Atomic Norm Minimization in Vehicular mm-Wave Propagation Channels. - Herbert Groll; Peter Gerstoft; Markus Hofer; Jiri Blumenstein; Thomas Zemen; Christoph F. Mecklenbräuker (IEEE Access, 2022)

Deep Learning Object Detection Approaches to Source Identification. - Luke Wood; Kevin Anderson; Peter Gerstoft (CoRR, 2022)

Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks. - Daniel Romero 004; Peter Gerstoft; Hadi Givehchian; Dinesh Bharadia (CoRR, 2022)

Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks. - Peter Gerstoft; Yihan Hu 002; Michael J. Bianco; Chaitanya Patil; Ardel Alegre; Yoav Freund; François Grondin (IEEE Internet Things J., 2022)

Difference-Frequency MUSIC for DOAs. - Yongsung Park; Peter Gerstoft; Jeung-Hoon Lee (IEEE Signal Process. Lett., 2022)

DTU three-channel room impulse response dataset for direction of arrival estimation 2020. - Efren Fernandez-Grande; Michael J. Bianco; Sharon Gannot; Peter Gerstoft (IEEE DataPort, 2022)

Data Centric Approach to Modulation Classification. - Venkatesh Sathyanarayanan; Peter Gerstoft; Aly El Gamal (COMSNETS, 2023)

Robust Sparse Bayesian Learning for DOA. - Christoph F. Mecklenbräuker; Peter Gerstoft; Esa Ollila; Yongsung Park (EUSIPCO, 2023)

Direction-of-Arrival Estimation Using Gaussian Process Interpolation. - Ishan D. Khurjekar; Peter Gerstoft; Christoph F. Mecklenbräuker; Zoi-Heleni Michalopoulou (ICASSP, 2023)

Deep Learning-Based Modulation Classification for OFDM Systems Without Symbol-Level Synchronization. - Byungjun Kim; Venkatesh Sathyanarayanan; Christoph F. Mecklenbräuker; Peter Gerstoft (ICASSP Workshops, 2023)

SD-PINN: Physics Informed Neural Networks for Spatially Dependent PDES. - Ruixian Liu; Peter Gerstoft (ICASSP, 2023)

Empiric Bayesian Inversion of Evaporation Ducts From Synthetic Phased-Array Data. - Ted Rogers; Peter Gerstoft (ICASSP Workshops, 2023)

DOA Uncertainty Quantification With Conformal Prediction. - Ishan D. Khurjekar; Peter Gerstoft (MLSP, 2023)

Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum Sensing. - Byungjun Kim; Christoph F. Mecklenbräuker; Peter Gerstoft (MSWiM, 2023)

SD-PINN: Deep Learning based Spatially Dependent PDEs Recovery. - Ruixian Liu; Peter Gerstoft (CoRR, 2023)

Gridless DOA Estimation With Multiple Frequencies. - Yifan Wu; Michael B. Wakin; Peter Gerstoft (IEEE Trans. Signal Process., 2023)

RML22: Realistic Dataset Generation for Wireless Modulation Classification. - Venkatesh Sathyanarayanan; Peter Gerstoft; Aly El Gamal (IEEE Trans. Wirel. Commun., 2023)

Channel Estimation in Time-Varying Ocean Environments Using OTFS Modulation. - Amogh Panchagatti; Byungjun Kim; Peter Gerstoft; Christoph F. Mecklenbräukcr (IEEECONF, 2024)

Multipole Source Capture Using Multiple Dictionary Sparse Bayesian Learning. - Alex Tung; Peter Gerstoft (IEEECONF, 2024)

Bayesian Optimization with Gaussian Processes for Robust Localization. - William F. Jenkins; Peter Gerstoft (ICASSP, 2024)

Multi-Source DOA Estimation With Statistical Coverage Guarantees. - Ishan D. Khurjekar; Peter Gerstoft (ICASSP, 2024)

Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA. - Yifan Wu; Michael B. Wakin; Peter Gerstoft; Yongsung Park (ICASSP, 2024)

Fusion of Multi-Resolution Seismic Tomography Maps with Physics-Informed Probability Graphical Models. - Zheng Zhou; Peter Gerstoft; Kim Olsen (ICASSP, 2024)

Deep-Learning-based Spatial Acoustic Properties Recovery from Incomplete Signals. - Ruixian Liu; Peter Gerstoft (SAM, 2024)

Atomic Norm Denoising for Multi-Frequency-Snapshot Doa Estimation. - Yongsung Park; Peter Gerstoft; Yifan Wu; Michael B. Wakin (SAM, 2024)

Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing. - Byungjun Kim; Christoph F. Mecklenbräuker; Peter Gerstoft (INFOCOM, 2024)

Joint Estimation of Channel, Range, and Doppler for FMCW Radar with Sparse Bayesian Learning. - Mehdi Ashury; Fangqing Xiao; José Rodríguez-Piñeiro; Dirk Slock; Peter Gerstoft; Christoph F. Mecklenbräuker; Dominik Lungenschmied (SPAWC, 2024)

Detection and Characterization of Unintended RF Emissions on Wideband Real Data. - Venkatesh Sathyanarayanan; Peter Gerstoft (SPCOM, 2024)

Spoofing Attack Detection in the Physical Layer with Robustness to User Movement. - Daniel Romero 004; Tien Ngoc Ha; Peter Gerstoft (WCNC, 2024)

Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks. - Xenofon Karakonstantis; Efren Fernandez-Grande; Peter Gerstoft (CoRR, 2024)

Scaling Continuous Kernels with Sparse Fourier Domain Learning. - Clayton A. Harper; Luke Wood; Peter Gerstoft; Eric C. Larson (CoRR, 2024)

Robust and sparse M-estimation of DOA. - Christoph F. Mecklenbräuker; Peter Gerstoft; Esa Ollila; Yongsung Park (Signal Process., 2024)

Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA. - Yifan Wu; Michael B. Wakin; Peter Gerstoft (IEEE Trans. Signal Process., 2024)

3D TDOA-AOA Quaternion Based Acoustic SLAM for Drone Localization and Source Mapping. - Hala Abualsaud; Peter Gerstoft (ICASSP, 2025)

Atom-Constrained Maximum Likelihood Gridless DOA with Wirtinger Gradients. - Peter Gerstoft; Yongsung Park (ICASSP, 2025)

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

Real-time Adversarial Attack to Deep Learning-based Wi-Fi Human Activity Recognition. - Byungjun Kim; Amogh Panchagatti; Peter Gerstoft (ICASSP, 2025)

Basis Function Learning for Variable-Length and Continuous-Indexed Signals. - Siyuan Li; Lei Cheng; Feng Yin; Jianlong Li; Peter Gerstoft (ICASSP, 2025)

Physics-Informed Neural Networks for Ocean Acoustic Field Prediction with Envelope Smoothing. - Yongsung Park; Peter Gerstoft; Seunghyun Yoon; Woojae Seong (ICASSP, 2025)

Machine Learning in Acoustics: A Review and Open-Source Repository. - Ryan A. McCarthy; You Zhang; Samuel A. Verburg; William F. Jenkins; Peter Gerstoft (CoRR, 2025)

Anomalous activity detection using RF emanations. - Venkatesh Sathyanarayanan; Peter Gerstoft (Signal Process., 2026)