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2020 – today
- 2024
[j59]Zhenxiang Cao
, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A semi-supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38(2): 623-651 (2024)- [j58]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Correction: A semi‑supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38(2): 652 (2024) - [j57]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Avoiding Post-Processing With Event-Based Detection in Biomedical Signals. IEEE Trans. Biomed. Eng. 71(8): 2442-2453 (2024) - [c63]Nicolas Heintz, Simon Geirnaert, Iris Van De Ryck, Tom Francart, Alexander Bertrand:
Probabilistic Gain Control in a Multi-Speaker Setting Using EEG-Based Auditory Attention Decoding. EUSIPCO 2024: 892-896 - [c62]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A Multi-View Extension for Change Point Detection via Time-Invariant Representations. EUSIPCO 2024: 2732-2736 - [d1]Yuanyuan Yao, Axel Stebner, Tinne Tuytelaars, Simon Geirnaert, Alexander Bertrand:
Video-EEG Encoding-Decoding Dataset KU Leuven. Zenodo, 2024
- [i9]Thomas Strypsteen, Alexander Bertrand:
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks. CoRR abs/2406.01162 (2024) - 2023
- [j56]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A Novel Loss for Change Point Detection Models With Time-Invariant Representations. IEEE Signal Process. Lett. 30: 1737-1741 (2023) - [j55]Thomas Strypsteen, Alexander Bertrand:
Bandwidth-Efficient Distributed Neural Network Architectures With Application to Neuro-Sensor Networks. IEEE J. Biomed. Health Informatics 27(2): 933-943 (2023) - [j54]Cem Ates Musluoglu, Alexander Bertrand:
A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems - Part I: Algorithm Derivation. IEEE Trans. Signal Process. 71: 1863-1878 (2023) - [j53]Cem Ates Musluoglu, Charles Hovine, Alexander Bertrand:
A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems - Part II: Convergence Properties. IEEE Trans. Signal Process. 71: 1879-1894 (2023) - [c61]Simon Geirnaert, Tom Francart, Alexander Bertrand:
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses. EUSIPCO 2023: 1000-1004 - [c60]Cem Ates Musluoglu, Alexander Bertrand:
A Distributed Adaptive Algorithm for Node-Specific Signal Fusion Problems in Wireless Sensor Networks. EUSIPCO 2023: 1654-1658 - [c59]Nicolas Heintz, Simon Geirnaert, Tom Francart, Alexander Bertrand:
Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding. ICASSP 2023: 1-5 - [c58]Charles Hovine, Alexander Bertrand:
A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems. ICASSP 2023: 1-5 - [c57]Cem Ates Musluoglu, Alexander Bertrand:
A Computationally Efficient Algorithm for Distributed Adaptive Signal Fusion Based on Fractional Programs. ICASSP 2023: 1-5 - [c56]Thomas Strypsteen, Alexander Bertrand:
Neural Source Coding For Bandwidth-Efficient Brain-Computer Interfacing With Wireless Neuro-Sensor Networks. ICASSP 2023: 1-5 - [i8]Thomas Strypsteen, Alexander Bertrand:
A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks. CoRR abs/2308.08379 (2023) - [i7]Nicolas Heintz, Tom Francart, Alexander Bertrand:
Minimally Informed Linear Discriminant Analysis: training an LDA model with unlabelled data. CoRR abs/2310.11110 (2023) - 2022
- [j52]Jonathan Dan, Simon Geirnaert, Alexander Bertrand:
Grouped variable selection for generalized eigenvalue problems. Signal Process. 195: 108476 (2022) - [j51]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Electrocardiogram Quality Assessment Using Unsupervised Deep Learning. IEEE Trans. Biomed. Eng. 69(2): 882-893 (2022) - [j50]Simon Geirnaert, Tom Francart, Alexander Bertrand:
Time-Adaptive Unsupervised Auditory Attention Decoding Using EEG-Based Stimulus Reconstruction. IEEE J. Biomed. Health Informatics 26(8): 3767-3778 (2022) - [j49]Charles Hovine, Alexander Bertrand:
MAXVAR-Based Distributed Correlation Estimation in a Wireless Sensor Network. IEEE Trans. Signal Process. 70: 5533-5548 (2022) - [c55]Arne De Brabandere, Zhenxiang Cao, Maarten De Vos, Alexander Bertrand, Jesse Davis:
Semi-supervised Change Point Detection Using Active Learning. DS 2022: 74-88 - [c54]Jasleen Birdi, Jan D'hooge, Alexander Bertrand:
A Neural Network Approach for Ultrasound Attenuation Coefficient Estimation. EUSIPCO 2022: 902-906 - [c53]Christof Baeriswyl, Alexander Bertrand, Reto A. Wildhaber:
Windowed State Space Filters for Peak Interference Suppression in Neural Spike Sorting. EUSIPCO 2022: 1208-1212 - [c52]Cem Ates Musluoglu, Marc Moonen, Alexander Bertrand:
Improved Tracking for Distributed Signal Fusion Optimization in a Fully-Connected Wireless Sensor Network. EUSIPCO 2022: 1836-1840 - [i6]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
EventNet: Detecting Events in EEG. CoRR abs/2209.11007 (2022) - [i5]Thomas Strypsteen, Alexander Bertrand:
Bandwidth-efficient distributed neural network architectures with application to body sensor networks. CoRR abs/2210.07750 (2022) - 2021
- [j48]Jasper Wouters, Fabian Kloosterman, Alexander Bertrand:
SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance. Neuroinformatics 19(1): 141-158 (2021) - [j47]Amalia Villa, Abhijith Mundanad Narayanan, Sabine Van Huffel, Alexander Bertrand, Carolina Varon:
Utility metric for unsupervised feature selection. PeerJ Comput. Sci. 7: e477 (2021) - [j46]Simon Geirnaert, Servaas Vandecappelle, Emina Alickovic, Alain de Cheveigné, Edmund C. Lalor, Bernd T. Meyer, Sina Miran, Tom Francart, Alexander Bertrand:
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices. IEEE Signal Process. Mag. 38(4): 89-102 (2021) - [j45]Simon Geirnaert, Tom Francart, Alexander Bertrand:
Fast EEG-Based Decoding Of The Directional Focus Of Auditory Attention Using Common Spatial Patterns. IEEE Trans. Biomed. Eng. 68(5): 1557-1568 (2021) - [j44]Simon Geirnaert, Tom Francart, Alexander Bertrand:
Unsupervised Self-Adaptive Auditory Attention Decoding. IEEE J. Biomed. Health Informatics 25(10): 3955-3966 (2021) - [j43]Tim De Ryck, Maarten De Vos, Alexander Bertrand:
Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation. IEEE Trans. Signal Process. 69: 3513-3524 (2021) - [j42]Cem Ates Musluoglu, Alexander Bertrand:
Distributed Adaptive Trace Ratio Optimization in Wireless Sensor Networks. IEEE Trans. Signal Process. 69: 3653-3670 (2021) - [c51]Charles Hovine, Alexander Bertrand:
Distributed MAXVAR: Identifying Common Signal Components across the Nodes of a Sensor Network. EUSIPCO 2021: 2159-2163 - [c50]Simon Geirnaert, Tom Francart, Alexander Bertrand:
Riemannian Geometry-Based Decoding of the Directional Focus of Auditory Attention Using EEG. ICASSP 2021: 1115-1119 - [i4]Thomas Strypsteen, Alexander Bertrand:
End-to-end learnable EEG channel selection with deep neural networks. CoRR abs/2102.09050 (2021) - 2020
- [j41]Jonathan Dan, Benjamin Vandendriessche, Wim Van Paesschen, Dorien Weckhuysen, Alexander Bertrand:
Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography. Int. J. Neural Syst. 30(11): 2050035:1-2050035:16 (2020) - [j40]Neetha Das, Jonas Vanthornhout, Tom Francart, Alexander Bertrand:
Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research. NeuroImage 204 (2020) - [j39]Fernando de la Hucha Arce, Marc Moonen, Marian Verhelst, Alexander Bertrand:
Distributed adaptive node-specific signal estimation in a wireless sensor network with noisy links. Signal Process. 166 (2020) - [j38]Fernando de la Hucha Arce, Panagiotis Patrinos, Marian Verhelst, Alexander Bertrand:
On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks. IEEE Signal Process. Lett. 27: 291-295 (2020) - [j37]Abhijith Mundanad Narayanan, Alexander Bertrand:
Analysis of Miniaturization Effects and Channel Selection Strategies for EEG Sensor Networks With Application to Auditory Attention Detection. IEEE Trans. Biomed. Eng. 67(1): 234-244 (2020) - [j36]Jasper Wouters, Panagiotis Patrinos, Fabian Kloosterman, Alexander Bertrand:
Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting. IEEE Trans. Signal Process. 68: 6240-6254 (2020) - [c49]Cem Ates Musluoglu, Alexander Bertrand:
Distributed Trace Ratio Optimization in Fully-Connected Sensor Networks. EUSIPCO 2020: 1991-1995 - [c48]Jasper Wouters, Fabian Kloosterman, Alexander Bertrand:
A Neural Network-Based Spike Sorting Feature Map That Resolves Spike Overlap in the Feature Space. ICASSP 2020: 1175-1179 - [c47]Abhijith Mundanad Narayanan, Alexander Bertrand:
Group-Utility Metric for Efficient Sensor Selection and Removal in LCMV Beamformers. ICASSP 2020: 4950-4954 - [i3]Tim De Ryck, Maarten De Vos, Alexander Bertrand:
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation. CoRR abs/2008.09524 (2020)
2010 – 2019
- 2019
- [c46]Jasper Wouters, Fabian Kloosterman, Alexander Bertrand:
A data-driven regularization approach for template matching in spike sorting with high-density neural probes. EMBC 2019: 4376-4379 - [c45]Simon Geirnaert, Tom Francart, Alexander Bertrand:
A New Metric to Evaluate Auditory Attention Detection Performance Based on a Markov Chain. EUSIPCO 2019: 1-5 - [c44]Jasper Wouters, Fabian Kloosterman, Alexander Bertrand:
Signal-to-peak-interference ratio maximization with automatic interference weighting for threshold-based spike sorting of high-density neural probe data. NER 2019: 247-250 - 2018
- [j35]Alexander Bertrand:
Utility Metrics for Assessment and Subset Selection of Input Variables for Linear Estimation [Tips & Tricks]. IEEE Signal Process. Mag. 35(6): 93-99 (2018) - [c43]Abhijith Mundanad Narayanan, Alexander Bertrand:
The effect of miniaturization and galvanic separation of EEG sensor devices in an auditory attention detection task. EMBC 2018: 77-80 - [c42]Jasper Wouters, Fabian Kloosterman, Alexander Bertrand:
Data-Driven Multi-Channel Filter Design with Peak-Interference Suppression for Threshold-Based Spike Sorting in High-Density Neural Probes. ICASSP 2018: 955-959 - 2017
- [j34]Yuri Murillo, Bertold Van den Bergh, Jona Beysens, Alexander Bertrand, Wim Dehaene, Panagiotis Patrinos, Tinne Tuytelaars, Ruth Vazquez Sabariego, Marian Verhelst, Patrick Wambacq, Sofie Pollin:
Multidisciplinary Learning through Implementation of the DVB-S2 Standard. IEEE Commun. Mag. 55(5): 124-130 (2017) - [j33]Jorge Plata-Chaves, Alexander Bertrand, Marc Moonen, Sergios Theodoridis, Abdelhak M. Zoubir:
Heterogeneous and Multitask Wireless Sensor Networks - Algorithms, Applications, and Challenges. IEEE J. Sel. Top. Signal Process. 11(3): 450-465 (2017) - [j32]Amin Hassani, Jorge Plata-Chaves, Mohamad Hasan Bahari, Marc Moonen, Alexander Bertrand:
Multi-Task Wireless Sensor Network for Joint Distributed Node-Specific Signal Enhancement, LCMV Beamforming and DOA Estimation. IEEE J. Sel. Top. Signal Process. 11(3): 518-533 (2017) - [j31]Mohamad Hasan Bahari, Alexander Bertrand, Marc Moonen:
Blind Sampling Rate Offset Estimation for Wireless Acoustic Sensor Networks Through Weighted Least-Squares Coherence Drift Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 25(3): 674-686 (2017) - [j30]Simon Van Eyndhoven, Tom Francart, Alexander Bertrand:
EEG-Informed Attended Speaker Extraction From Recorded Speech Mixtures With Application in Neuro-Steered Hearing Prostheses. IEEE Trans. Biomed. Eng. 64(5): 1045-1056 (2017) - [j29]Joseph Szurley, Alexander Bertrand, Marc Moonen:
Topology-Independent Distributed Adaptive Node-Specific Signal Estimation in Wireless Sensor Networks. IEEE Trans. Signal Inf. Process. over Networks 3(1): 130-144 (2017) - [j28]Alexander Bertrand:
Comments on "Distributed Identification of the Most Critical Node for Average Consensus". IEEE Trans. Signal Process. 65(5): 1265-1267 (2017) - [j27]Fernando de la Hucha Arce, Marc Moonen, Marian Verhelst, Alexander Bertrand:
Adaptive Quantization for Multichannel Wiener Filter-Based Speech Enhancement in Wireless Acoustic Sensor Networks. Wirel. Commun. Mob. Comput. 2017 (2017) - [c41]Neetha Das, Simon Van Eyndhoven, Tom Francart, Alexander Bertrand:
EEG-based attention-driven speech enhancement for noisy speech mixtures using N-fold multi-channel Wiener filters. EUSIPCO 2017: 1660-1664 - [c40]Alexander Bertrand, Dongjin Seo, Jose M. Carmena, Michel M. Maharbiz, Elad Alon, Jan M. Rabaey:
Blind parallel interrogation of ultrasonic neural dust motes based on canonical polyadic decomposition: A simulation study. EUSIPCO 2017: 2066-2070 - [c39]Amin Hassani, Alexander Bertrand, Marc Moonen:
Real-time distributed speech enhancement with two collaborating microphone arrays. ICASSP 2017: 6586-6587 - 2016
- [j26]Fernando de la Hucha Arce, Fernando Rosas, Marc Moonen, Marian Verhelst, Alexander Bertrand:
Generalized Signal Utility for LMMSE Signal Estimation With Application to Greedy Quantization in Wireless Sensor Networks. IEEE Signal Process. Lett. 23(9): 1202-1206 (2016) - [j25]Joseph Szurley, Alexander Bertrand, Bas van Dijk, Marc Moonen:
Binaural Noise Cue Preservation in a Binaural Noise Reduction System With a Remote Microphone Signal. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 952-966 (2016) - [j24]Amin Hassani, Alexander Bertrand, Marc Moonen:
GEVD-Based Low-Rank Approximation for Distributed Adaptive Node-Specific Signal Estimation in Wireless Sensor Networks. IEEE Trans. Signal Process. 64(10): 2557-2572 (2016) - [c38]Neetha Das, Simon Van Eyndhoven, Tom Francart, Alexander Bertrand:
Adaptive attention-driven speech enhancement for EEG-informed hearing prostheses. EMBC 2016: 77-80 - [c37]Mohamad Hasan Bahari, Jorge Plata-Chaves, Alexander Bertrand, Marc Moonen:
Distributed labelling of audio sources in wireless acoustic sensor networks using consensus and matching. EUSIPCO 2016: 2345-2349 - [c36]Amin Hassani, Alexander Bertrand, Marc Moonen:
LCMV beamforming with subspace projection for multi-speaker speech enhancement. ICASSP 2016: 91-95 - [c35]Jorge Plata-Chaves, Mohamad Hasan Bahari, Marc Moonen, Alexander Bertrand:
Unsupervised diffusion-based LMS for node-specific parameter estimation over wireless sensor networks. ICASSP 2016: 4159-4163 - [c34]Amin Hassani, Jorge Plata-Chaves, Alexander Bertrand, Marc Moonen:
Multi-task wireless acoustic sensor network for node-specific speech enhancement and DOA estimation. SAM 2016: 1-5 - [c33]Jorge Plata-Chaves, Alexander Bertrand, Marc Moonen:
Incremental multiple error filtered-X LMS for node-specific active noise control over wireless acoustic sensor networks. SAM 2016: 1-5 - [i2]Simon Van Eyndhoven, Tom Francart, Alexander Bertrand:
EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses. CoRR abs/1602.05702 (2016) - 2015
- [j23]Alexander Bertrand, Marc Moonen:
Distributed adaptive generalized eigenvector estimation of a sensor signal covariance matrix pair in a fully connected sensor network. Signal Process. 106: 209-214 (2015) - [j22]Alexander Bertrand, Simon Doclo, Sharon Gannot, Nobutaka Ono, Toon van Waterschoot:
Special issue on wireless acoustic sensor networks and ad hoc microphone arrays. Signal Process. 107: 1-3 (2015) - [j21]Shmulik Markovich Golan, Alexander Bertrand, Marc Moonen, Sharon Gannot:
Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks. Signal Process. 107: 4-20 (2015) - [j20]Amin Hassani, Alexander Bertrand, Marc Moonen:
Cooperative integrated noise reduction and node-specific direction-of-arrival estimation in a fully connected wireless acoustic sensor network. Signal Process. 107: 68-81 (2015) - [j19]Joseph Szurley, Alexander Bertrand, Marc Moonen:
Distributed adaptive node-specific signal estimation in heterogeneous and mixed-topology wireless sensor networks. Signal Process. 117: 44-60 (2015) - [j18]Alexander Bertrand, Marc Moonen:
Distributed Canonical Correlation Analysis in Wireless Sensor Networks With Application to Distributed Blind Source Separation. IEEE Trans. Signal Process. 63(18): 4800-4813 (2015) - [c32]Wouter Biesmans, Jonas Vanthornhout, Jan Wouters, Marc Moonen, Tom Francart, Alexander Bertrand:
Comparison of speech envelope extraction methods for EEG-based auditory attention detection in a cocktail party scenario. EMBC 2015: 5155-5158 - [c31]Amin Hassani, Alexander Bertrand, Marc Moonen:
Distributed signal subspace estimation based on local generalized eigenvector matrix inversion. EUSIPCO 2015: 1386-1390 - [c30]Fernando de la Hucha Arce, Fernando Rosas, Marc Moonen, Marian Verhelst, Alexander Bertrand:
Energy-vs-performance trade-offs in speech enhancement in wireless acoustic sensor networks. EUSIPCO 2015: 1561-1565 - [c29]Mohamad Hasan Bahari, Alexander Bertrand, Marc Moonen:
Blind sampling rate offset estimation based on coherence DRD7T in wireless acoustic sensor networks. EUSIPCO 2015: 2281-2285 - [c28]Wouter Biesmans, Alexander Bertrand, Jan Wouters, Marc Moonen:
Optimal spatial filtering for auditory steady-state response detection using high-density EEG. ICASSP 2015: 857-861 - [c27]Amin Hassani, Alexander Bertrand, Marc Moonen:
Low-rank approximation-based distributed node-specific signal estimation in a fully-connected wireless sensor network. ICASSP 2015: 2839-2843 - [c26]Jorge Plata-Chaves, Alexander Bertrand, Marc Moonen:
Distributed signal estimation in a wireless sensor network with partially-overlapping node-specific interests or source observability. ICASSP 2015: 5808-5812 - [i1]Jorge Plata-Chaves, Mohamad Hasan Bahari, Marc Moonen, Alexander Bertrand:
Unsupervised diffusion-based LMS for node-specific parameter estimation over wireless sensor networks. CoRR abs/1510.00984 (2015) - 2014
- [j17]Joseph Szurley, Alexander Bertrand, Peter Ruckebusch, Ingrid Moerman, Marc Moonen:
Greedy distributed node selection for node-specific signal estimation in wireless sensor networks. Signal Process. 94: 57-73 (2014) - [j16]Alexander Bertrand, Marc Moonen:
Distributed adaptive estimation of covariance matrix eigenvectors in wireless sensor networks with application to distributed PCA. Signal Process. 104: 120-135 (2014) - [c25]Alexander Bertrand, Dongjin Seo, Filip Maksimovic, Jose M. Carmena, Michel M. Maharbiz, Elad Alon, Jan M. Rabaey:
Beamforming approaches for untethered, ultrasonic neural dust motes for cortical recording: A simulation study. EMBC 2014: 2625-2628 - [c24]Amin Hassani, Alexander Bertrand, Marc Moonen:
Distributed GEVD-based signal subspace estimation in a fully-connected wireless sensor network. EUSIPCO 2014: 1292-1296 - [c23]Alexander Bertrand, Marc Moonen:
Distributed eye blink artifact removal in a wireless EEG sensor network. ICASSP 2014: 5849-5853 - [c22]Joseph Szurley, Alexander Bertrand, Marc Moonen, Ingrid Moerman:
A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology. ICASSP 2014: 7570-7574 - 2013
- [j15]Alexander Bertrand, Marc Moonen:
Distributed computation of the Fiedler vector with application to topology inference in ad hoc networks. Signal Process. 93(5): 1106-1117 (2013) - [j14]Joseph Szurley, Alexander Bertrand, Marc Moonen:
On the Use of Time-Domain Widely Linear Filtering for Binaural Speech Enhancement. IEEE Signal Process. Lett. 20(7): 649-652 (2013) - [j13]Alexander Bertrand, Marc Moonen:
Seeing the Bigger Picture: How Nodes Can Learn Their Place Within a Complex Ad Hoc Network Topology. IEEE Signal Process. Mag. 30(3): 71-82 (2013) - [j12]Alexander Bertrand, Marc Moonen:
Distributed LCMV Beamforming in a Wireless Sensor Network With Single-Channel Per-Node Signal Transmission. IEEE Trans. Signal Process. 61(13): 3447-3459 (2013) - [c21]Alexander Bertrand, Vojkan Mihajlovic, Bernard Grundlehner, Chris Van Hoof, Marc Moonen:
Motion artifact reduction in EEG recordings using multi-channel contact impedance measurements. BioCAS 2013: 258-261 - [c20]Alexander Bertrand, Marc Moonen:
Topology-aware distributed adaptation of Laplacian weights for in-network averaging. EUSIPCO 2013: 1-5 - [c19]Amin Hassani, Alexander Bertrand, Marc Moonen:
Distributed node-specific direction-of-arrival estimation in wireless acoustic sensor networks. EUSIPCO 2013: 1-5 - [c18]Joseph Szurley, Alexander Bertrand, Ingrid Moerman, Marc Moonen:
Network topology selection for distributed speech enhancement in wireless acoustic sensor networks. EUSIPCO 2013: 1-5 - [c17]Joseph Szurley, Alexander Bertrand, Marc Moonen:
Improved tracking performance for distributed node-specific signal enhancement inwireless acoustic sensor networks. ICASSP 2013: 336-340 - [c16]Alexander Bertrand, Marc Moonen:
Distributed adaptive eigenvector estimation of the sensor signal covariance matrix in a fully connected sensor network. ICASSP 2013: 4236-4240 - 2012
- [j11]Alexander Bertrand, Marc Moonen:
Distributed signal estimation in sensor networks where nodes have different interests. Signal Process. 92(7): 1679-1690 (2012) - [j10]Alexander Bertrand, Marc Moonen:
Distributed Node-Specific LCMV Beamforming in Wireless Sensor Networks. IEEE Trans. Signal Process. 60(1): 233-246 (2012) - [j9]Alexander Bertrand, Marc Moonen:
Low-Complexity Distributed Total Least Squares Estimation in Ad Hoc Sensor Networks. IEEE Trans. Signal Process. 60(8): 4321-4333 (2012) - [j8]Alexander Bertrand, Joseph Szurley, Peter Ruckebusch, Ingrid Moerman, Marc Moonen:
Efficient Calculation of Sensor Utility and Sensor Removal in Wireless Sensor Networks for Adaptive Signal Estimation and Beamforming. IEEE Trans. Signal Process. 60(11): 5857-5869 (2012) - [c15]Joseph Szurley, Alexander Bertrand, Marc Moonen, Peter Ruckebusch, Ingrid Moerman:
Energy aware greedy subset selection for speech enhancement in wireless acoustic sensor networks. EUSIPCO 2012: 789-793 - [c14]Alexander Bertrand, Joseph Szurley, Marc Moonen:
Distributed distortionless signal estimation in wireless acoustic sensor networks. EUSIPCO 2012: 1254-1258 - [c13]Joseph Szurley, Alexander Bertrand, Marc Moonen:
Efficient computation of microphone utility in a wireless acoustic sensor network with multi-channel Wiener filter based noise reduction. ICASSP 2012: 2657-2660 - [c12]Alexander Bertrand, Marc Moonen:
Power iteration-based distributed total least squares estimation in ad hoc sensor networks. ICASSP 2012: 2669-2672 - [c11]Annelies Geusens, Alexander Bertrand, Bram Cornelis, Marc Moonen:
Multi-Channel Noise Reduction in Hearing Aids with Wireless Access to an External Reference Signal. IWAENC 2012 - [c10]Amin Hassani, Alexander Bertrand, Marc Moonen:
Tracking of a rotating object in a Wireless Sensor Network using fuzzy based adaptive IMM filter. SCVT 2012: 1-6 - 2011
- [b1]Alexander Bertrand:
Signal Processing Algorithms for Wireless Acoustic Sensor Networks (Signaalverwerkingsalgoritmes voor draadloze akoestische sensornetwerken). Katholieke Universiteit Leuven, Belgium, 2011 - [j7]Alexander Bertrand, Marc Moonen:
Distributed Adaptive Estimation of Node-Specific Signals in Wireless Sensor Networks With a Tree Topology. IEEE Trans. Signal Process. 59(5): 2196-2210 (2011) - [j6]Alexander Bertrand, Marc Moonen:
Consensus-Based Distributed Total Least Squares Estimation in Ad Hoc Wireless Sensor Networks. IEEE Trans. Signal Process. 59(5): 2320-2330 (2011) - [j5]Alexander Bertrand, Marc Moonen, Ali H. Sayed:
Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks. IEEE Trans. Signal Process. 59(11): 5212-5224 (2011) - [c9]Joseph Szurley, Alexander Bertrand, Marc Moonen, Peter Ruckebusch, Ingrid Moerman:
Utility based cross-layer collaboration for speech enhancement in wireless acoustic sensor networks. EUSIPCO 2011: 235-239 - [c8]Alexander Bertrand, Marc Moonen, Ali H. Sayed:
Diffusion-based bias-compensated RLS for distributed estimation over adaptive sensor networks. EUSIPCO 2011: 1025-1029 - [c7]Alexander Bertrand, Marc Moonen:
Distributed LCMV beamforming in wireless sensor networks with node-specific desired signals. ICASSP 2011: 2668-2671 - [c6]Alexander Bertrand:
Applications and trends in wireless acoustic sensor networks: A signal processing perspective. SCVT 2011: 1-6 - 2010
- [j4]Alexander Bertrand, Marc Moonen:
Blind separation of non-negative source signals using multiplicative updates and subspace projection. Signal Process. 90(10): 2877-2890 (2010) - [j3]Alexander Bertrand, Marc Moonen:
Distributed adaptive node-specific signal estimation in fully connected sensor networks-part I: sequential node updating. IEEE Trans. Signal Process. 58(10): 5277-5291 (2010) - [j2]Alexander Bertrand, Marc Moonen:
Distributed adaptive node-specific signal estimation in fully connected sensor networks-part II: simultaneous and asynchronous node updating. IEEE Trans. Signal Process. 58(10): 5292-5306 (2010) - [c5]Alexander Bertrand, Marc Moonen:
Efficient sensor subset selection and link failure response for linear MMSE signal estimation in wireless sensor networks. EUSIPCO 2010: 1092-1096 - [c4]Alexander Bertrand, Marc Moonen:
Energy-based multi-speaker voice activity detection with an ad hoc microphone array. ICASSP 2010: 85-88
2000 – 2009
- 2009
- [j1]Alexander Bertrand, Marc Moonen:
Robust Distributed Noise Reduction in Hearing Aids with External Acoustic Sensor Nodes. EURASIP J. Adv. Signal Process. 2009 (2009) - [c3]Alexander Bertrand, Marc Moonen:
Distributed adaptive node-specific MMSE signal estimation in sensor networks with a tree topology. EUSIPCO 2009: 794-798 - [c2]Alexander Bertrand, Marc Moonen:
Distributed adaptive estimation of correlated node-specific signals in a fully connected sensor network. ICASSP 2009: 2053-2056 - 2008
- [c1]Alexander Bertrand, Kris Demuynck, Veronique Stouten, Hugo Van hamme:
Unsupervised learning of auditory filter banks using non-negative matrix factorisation. ICASSP 2008: 4713-4716
Coauthor Index
[c52] [j39] [j33] [j32] [j31] [j29] [j27] [c39] [j26] [j25] [j24] [c37] [c36] [c35] [c34] [c33] [j23] [j21] [j20] [j19] [j18] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i1] [j17] [j16] [c24] [c23] [c22] [j15] [j14] [j13] [j12] [c21] [c20] [c19] [c18] [c17] [c16] [j11] [j10] [j9] [j8] [c15] [c14] [c13] [c12] [c11] [c10] [j7] [j6] [j5] [c9] [c8] [c7] [j4] [j3] [j2] [c5] [c4] [j1] [c3] [c2]
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, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-06 20:31 CET by the dblp team
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