Dissemination

Scientific Publications

Published: Thursday, 28 November 2013 10:33

Journals

[1] A. Bertrand, and M. Moonen, “Distributed computation of the Fiedler vector with application to topology inference in ad hoc networks” Signal Processing, vol. 93, no. 5, pp. 1106-1117, 2013. [Download]

[2] A. Bertrand, and M. Moonen, “Seeing the bigger picture: How nodes can learn their place within a complex ad hoc network topology,” IEEE Signal Processing Magazine, vol. 30, no. 3, pp. 71-82, 2013. [Download]

[3] N. Bogdanovic, J. Plata-Chaves, and K. Berberidis, “Distributed incremental-based LMS for node-specific adaptive parameter estimation,” IEEE Transactions on Signal Processing, vol. 62, no. 20, pp. 5382-5397, 2014. [Download]

[4] A. Bertrand, and M. Moonen, “Distributed adaptive estimation of covariance matrix eigenvectors in wireless sensor networks with application to distributed PCA,” Signal Processing, vol. 104, pp. 120-135, Nov. 2014. [Download]

[5] J. Plata-Chaves, N. Bogdanovic, and K. Berberidis, “Distributed diffusion-based LMS for node-specific adaptive parameter estimation,” IEEE Transactions on Signal Processing, vol. 63, no. 13, pp. 3448-3460, 2015. [Download]

[6] A. Hassani, A. Bertrand, and M. Moonen, “Cooperative integrated noise reduction and node-specific direction-of-arrival estimation in a fully connected wireless acoustic sensor network,” Signal Processing, vol. 107, pp. 68-81, 2015. [Download]

[7] S. Markovich-Golan, A. Bertrand, M. Moonen, and S. Gannot, “Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks,” Signal Processing, vol. 107, pp. 4-20, 2015. [Download]

[8] A. Bertrand, and M. Moonen, “Distributed adaptive generalized eigenvector estimation of a sensor signal covariance matrix pair in a fully-connected sensor network,” Signal Processing, vol. 106, pp. 209-214, 2015. [Download]

[9] J. Szurley, A. Bertrand, and M. Moonen “Distributed adaptive node-specific signal estimation in heterogeneous and mixed-topology wireless sensor networks” Signal Processing, vol.117, pp.44-60, Dec. 2015. [Download]

[10] A. Bertrand and M. Moonen “Distributed canonical correlation analysis in wireless sensor networks with application to distributed blind source separation” IEEE Transactions on Signal Processing, vol. 63, no. 18, pp. 4800-4813, 2015. [Download]

[11] A. Bertrand “Distributed signal processing for wireless EEG sensor networks” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 23, no.6, pp. 923-935, 2015. [Download]

[12] A. Hassani, A. Bertrand, and M. Moonen “GEVD-based low-Rank approximation for distributed adaptive node-specific signal estimation in wireless sensor networks” IEEE Transactions on Signal Processing, vol. 64, no. 10, pp. 2557-2572, 2016. [Download]

[13] P. Binder, M. Muma, and A. M. Zoubir. Robust and adaptive diffusion-based classification in distributed networks. EURASIP Journal on Advances in Signal Processing: Advances in adaptive filtering theory and applications to acoustic and speech signal processing, 2016, vol. 1, pp. 1-13, 2016 [Download]

[14] B. Somers, A. Bertrand “Removal of eye blink artifacts in wireless EEG sensor networks using reduced-bandwidth canonical correlation analysis” Journal of Neural Engineering, vol. 13, no.6, pp. 066008, 2016 [Download]

[15] S. Van Eyndhoven, T. Francart, A. Bertrand “EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses” Accepted for publication in IEEE Transactions on Biomedical Engineering, 2016 [Download]

[16] J. Szurley, A. Bertrand, and M. Moonen “Topology-independent distributed adaptive node- specific signal estimation in wireless sensor networks” Accepted for publication in IEEE Transactions on Signal and Information Processing over Networks, 2016 [Download]

[17] F. de la Hucha Arce, F. Rosas, M. Moonen, M. Verhelst, and A. Bertrand “Generalized signal utility for LMMSE signal estimation with application to greedy quantization in wireless sensor networks” IEEE Signal Processing Letters, vol. 23, no. 9, pp. 1202 - 1206, 2016 [Download]

[18] J. Szurley, A. Bertrand, B. Van Dijk, and M. Moonen “Binaural noise cue preservation in a binaural noise reduction system with a remote microphone signal” IEEE/ACM Trans. Audio, Speech and Language Processing, vol. 24, no. 5, pp. 952 - 966, 2016 [Download]

[19] N. Kolokotronis, A. Katsiotis, and N. Kalouptsidis, “Secretly pruned convolutional codes: security analysis and performance results,” IEEE Transactions on Information Forensics and Security, vol. 11, no. 7, pp. 1500-1514, Jul. 2016 [Download]

[20] N. Bogdanović, D. Ampeliotis, and K. Berberidis, “A coalitional game theoretic outlook on distributed adaptive parameter estimation,” IEEE Transactions on Signal and Information Processing over Networks, to appear, 2017 [Download]

[21] M. Muma and A. M. Zoubir, “Bounded influence propagation τ -estimation: A new robust method for ARMA model estimation,” IEEE Transactions on Signal Processing, to appear, 2017 [Download]

[22] T. Schäck, M. Muma, and A. M. Zoubir, “Hands-on via signal processing projects at Technische Universität Darmstadt,” IEEE Signal Processing Magazine, to appear, 2017 [Download]

[23] A. Hassani, J. Plata-Chaves, M. Hasan Bahari, A. Bertrand and M. Moonen, “Multi- task wireless sensor network for joint distributed node-specific signal enhancement, LCMV beamforming and DoA estimation,” (Submitted), 2016 [Download]

[24] J. Plata-Chaves, A. Bertrand, M. Moonen, S. Theodoridis and A. M. Zoubir, “Heterogeneous and multi-task wireless sensor networks- Algorithms, applications and challenges,” (Submitted), 2016 [Download]

[25] S. Al-Sayed, J. Plata-Chaves, M. Muma, A. M. Zoubir, A. Bertrand and M. Moonen. Node-specific diffusion LMS-based distributed detection over adaptive networks. (Submitted), 2016 [Download]

[26] M. Bahari, A. Bertrand, and M. Moonen, “Blind microphone sampling rate offset estimation and compensation for multi-channel noise reduction,” (Submitted), 2016 [Download]

[27] M. H. Bahari, J. Plata-Chaves, K. Hamaidi, M. Muma, M. Moonen and A. M. Zoubir. Distributed multi-speaker voice activity detection in wireless sensor networks,” (Submitted), 2017

[28] M. Morales-Cespedes, J. Plata-Chaves, D. Toumpakaris, S. A. Jafar and A. Garcia- Armada, “Cognitive blind interference alignment for macro-femto cellular networks,” (Submitted), 2016 [Download]

[29] M. Martinez-Camara, M. Muma, B. Béjar-Haro, A. M. Zoubir, and M. Vetterli. “The regularized tau estimator: A robust and efficient solution to ill-posed linear inverse problems,” (In preparation), 2017

[30] M. Muma J. Dagdagan and A. M. Zoubir. “Localization of sources and receivers in uncalibrated wireless acoustic sensor networks,” (In preparation), 2017

[31] P. Binder, M. Muma and A. M. Zoubir. “A gravitational model based in-network adaptive cluster enumeration and classification/labeling approach for distributed networks,” (In preparation), 2017

[32] J. Plata-Chaves, A. Bertrand, and M. Moonen, “Distributed and adaptive multitask clustering over diffusion networks with node-specific parameter estimation interests,” (In preparation), 2017

[33] J. Plata-Chaves, M. H. Bahari, A. Bertrand, and M. Moonen, “Distributed node-specific signal estimation in a wireless sensor network where nodes have partially-overlapping interests or source observability,” (In preparation), 2017

[34] B. Béjar and M. Vetterli, “On the proximity operator of induced li/l∞ matrix norms,” (In preparation), 2017

[35] B. Béjar and M. Vetterli, “Block sparse coding and diffusion-adaption for distributed image enhancement over heterogeneous networks,” (In preparation), 2017

Conferences

[36] A. Bertrand, and M. Moonen, “Topology-aware distributed adaptation of laplacian weights for in-network averaging” 21st European Signal Conference (EUSIPCO), 2013. [Download]

[37] J. Szurley, A. Bertrand, and M. Moonen, “Network topology selection for distributed speech enhancement in wireless acoustic sensor networks,” 21st European Signal Conference (EUSIPCO), 2013. [Download]

[38] N. Kolokotronis, K. Fytrakis, A. Katsiotis, and N. Kalouptsidis, “Cooperation for secure wireless communications with resource-bounded eavesdroppers,” in 2014 IEEE Global Communications Conference (GLOBECOM), Workshop on Trusted Communications with Physical Layer Security (TPLS), Dec. 2014. [Download]

[39] A. Hassani, A. Bertrand, and M. Moonen, “Distributed GEVD-based signal subspace estimation in a fully-connected wireless sensor network,” 22nd European Signal Conference (EUSIPCO), Sept. 2014. [Download]

[40] B. Béjar, and M. Vetterli, “Topology optimization for energy-efficient communications in consensus wireless networks,” IEEE 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014. [Download]

[41] N. Bogdanovic, J. Plata-Chaves, and K. Berberidis, “Distributed diffusion-based LMS for node-specific parameter estimation over adaptive networks,” IEEE 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014. [Download]

[42] J. Szurley, A. Bertrand, M. Moonen, and I. Moerman, “A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology,” IEEE 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014. [Download]

[43] A. Bertrand, and M. Moonen, “Distributed eye blink artifact removal in a wireless EEG sensor network,” IEEE 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014. [Download]

[44] D. Ampeliotis, N. Bogdanović and K. Berberidis, “Coalitional games for a distributed signal enhancement application,” in 23rd European Signal Processing Conference (EUSIPCO), Aug. 2015. [Download]

[45] K. Ntemos, N. Kalouptsidis, and N. Kolokotronis, “Managing trust in diffusion adaptive networks with malicious agents,” in 23rd European Signal Processing Conference (EUSIPCO). Aug. 2015. [Download]

[46] N. Kolokotronis, K. Fytrakis, A. Katsiotis, and N. Kalouptsidis, “A cooperative jamming protocol for physical layer security in wireless networks,” in 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015. [Download]

[47] N. Bogdanović, D. Ampeliotis and K. Berberidis, “Coalitional game theoretic approach to distributed adaptive parameter estimation,” in 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015. [Download]

[48] A. Hassani, A. Bertrand, and M. Moonen, “Low-rank approximation-based distributed node-specific signal estimation in a fully-connected wireless sensor network,” in 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015. [Download]

[49] P. Binder, M. Muma, and A. M. Zoubir. Robust and computationally efficient diffusion- based classification in distributed networks. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015. [Download]

[50] S. Chouvardas, M. Muma, K. Hamaidi, S. Theodoridis, and A. M. Zoubir. Distributed robust labeling of audio sources in heterogeneous wireless sensor networks. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015. [Download]

[51] D. Kalus, M. Muma, and A. M. Zoubir. Distributed robust change point detection for autoregressive processes with an application to voice activity detection. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015. [Download]

[52] M. Martinez-Camara, M. Muma, A. M. Zoubir and M. Vetterli. A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015. [Download]

[53] F. Teklehaymanot, M. Muma, B. Béjar-Haro, P. Binder, A. M. Zoubir, and M. Vetterli. Robust diffusion-based unsupervised object labelling in distributed camera networks. 12th IEEE AFRICON, Apr. 2015. [Download]

[54] A. Katsiotis, N. Kolokotronis, and N. Kalouptsidis “Secure encoder designs based on turbo codes,” in 2015 IEEE International Conference on Communications ICC, Jun. 2015. [Download]

[55] J. Plata-Chaves, A. Bertrand, and M. Moonen, “Distributed signal estimation in a wireless sensor network with node-specific partially-overlapping interests or source observability,” IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. [Download]

[56] A. Hassani, A. Bertrand, and M. Moonen “Distributed signal subspace estimation based on local generalized eigenvector matrix inversion” European Signal Processing Conference (EUSIPCO), Nice, France, 2015. [Download]

[57] F. de la Hucha Arce, F. Rosas, M. Moonen, M. Verhelst, A. Bertrand “Energy-vs- Performance trade-offs in speech enhancement in wireless acoustic sensor networks” European Signal Processing Conference (EUSIPCO), Nice, France, 2015. [Download]

[58] M. H. Bahari, A. Bertrand, and M. Moonen “Blind Sampling Rate Offset Estimation Based on Coherence Drift in Wireless Acoustic Sensor Networks” European Signal Processing Conference (EUSIPCO), Nice, France, 2015. [Download]

[59] B. Béjar and M. Vetterli, “Enhancing local - Transmitting less - Improving global,” 2015 IEEE International Conference on Acoustics, Speech and Signal Processing, 2015. [Download]

[60] T. Schäck, C. Sledz, M. Muma, and A. M. Zoubir, “A new method for heart rate monitoring during physical exercise using photoplethysmographic signals,” European Signal Processing Conference (EUSIPCO), Nice, France, 2015. [Download]

[61] K. Ntemos, N. Kolokotronis, and N. Kalouptsidis, “Using trust to mitigate malicious and selfish behavior of autonomous agents in CRNs,” in 27th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Sep. 2016. [Download]

[62] N. Kolokotronis and M. Athanasakos, “Improving physical layer security in DF relay networks via two-stage cooperative jamming,” in 24rd European Signal Processing Conference (EUSIPCO). Aug. 2016. [Download]

[63] M. H. Bahari, J. Plata-Chaves, A. Bertrand, and M. Moonen. “Distributed labeling of audio sources in wireless acoustic sensor networks using consensus and matching,” European Signal Process. Conf. (EUSIPCO), 2016. [Download]

[64] F. Scheidt, D. Jin, M. Muma, and A. M. Zoubir. “Fast and accurate cooperative localization in wireless sensor networks,” European Signal Process. Conf. (EUSIPCO), Apr. 2016. [Download]

[65] F. Teklehaymanot, M. Muma, J. Liu, and A. M. Zoubir. “In-network adaptive cluster enumeration for distributed classification/labeling,” European Signal Process. Conf. (EUSIPCO), Apr. 2016. [Download]

[66] J. Plata-Chaves, M.H. Bahari, M. Moonen, A. Bertrand, “Unsupervised diffusion- based LMS for node-specific parameter estimation over wireless sensor networks” , IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP), Shanghai, China, Mar. 2016. [Download]

[67] E. Vlachos and K. Berberidis, “Adaptive completion of the correlation matrix in wireless sensor networks,” 24th European Signal Processing Conference (EUSIPCO), Aug. 29 - Sep. 2, 2016, Budapest, Hungary. [Download]

[68] E. Vlachos and K. Berberidis,“Blind distributed beamforming via matrix completion,” IEEE International workshop on Signal Processing advances in Wireless Communications (SPAWC), 2016. [Download]

[69] D. Ampeliotis, C. Mavrokefalidis, K. Berberidis and S. Theodoridis, “Adapt-align-combine for diffusion-based distributed dictionary learning,” 24th European Signal Processing Conference (EUSIPCO), Aug. 29 - Sep. 2, 2016, Budapest, Hungary. [Download]

[70] A. Hassani, J. Plata-Chaves, A. Bertrand, and M. Moonen “Multi-task wireless acoustic sensor network for node-specific speech enhancement and DOA estimation,” IEEE Sensor Array and Multichannel Signal Processing Workshop (IEEE SAM), Rio de Janeiro, Brazil, Jul. 2016. [Download]

[71] J. Plata-Chaves, A. Bertrand, and M. Moonen “Incremental multiple error filtered-x LMS for node-specific active noise control over wireless acoustic sensor networks,” IEEE Sensor Array and Multichannel Signal Processing Workshop (IEEE SAM), Rio de Janeiro, Brazil, Jul. 2016. [Download]

[72] L. Martino, J. Plata-Chaves, and F. Louzada “A Monte Carlo scheme for node-specific inference over wireless sensor networks,” IEEE Sensor Array and Multichannel Signal Processing Workshop (IEEE SAM), Rio de Janeiro, Brazil, Jul. 2016. [Download]

[73] A. Hassani, A. Bertrand, M. Moonen “LCMV beamforming with subspace projection for multi-speaker speech enhancement,” IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP), Shanghai, China, Mar. 2016. [Download]

[74] M. Muma K. Hamaidi and A. M. Zoubir. “Multi-speaker voice activity detection by an improved multiplicative non-negative independent component analysis with sparseness constraints,” (Submitted), 2017.

[75] M. Muma J. Machkour, B. Alt and A. M. Zoubir. “The outlier-corrected-data adaptive lasso: a new robust estimator for the independent contamination model,” (Submitted), 2017.

[76] D. Ampeliotis, C. Mavrokefalidis and K. Berberidis, “Distributed dictionary learning via projections onto convex sets,” (Submitted), 2017.