• 692 Citaties
1984 …2018

Onderzoeksresultaten per jaar

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Persoonlijk profiel

Research profile

TjallingTjalkens is Associate Professor in the Signal Processing Systems group at TU/e. His research interest is information theory, especially universal and non-universal source coding theory and machine learning. He is known for developing the universal Context Tree Weighting data compression algorithm. Tjalkens has done research projects on noiseless source coding, the universal variable-to-fixed length modified Lawrence algorithm, the redundancy rate of the well-known Lempel-Ziv universal algorithm and channel coding.  

In 2014, Tjalkens received a grant from the Dutch technology foundation STW in the High Tech Systems and Materials program. He is using the funds to develop algorithms for a personalized hearing system. He occasionally works as a consultant for KPN on general data compression issues.  

Tjalkens authored and co-authored over 50 papers and holds two patents on data compression systems.

Academic background

TjallingTjalkens holds an MSc degree in Electrical Engineering from Eindhoven University of Technology (TU/e) and received his PhD from the same university in 1987. During his PhD, he worked as research assistant at TU/e. In 1986, he became a staff member here. He worked as visiting scientist at the Technical University of Lund (Sweden) in 1989 and in 1999. From 1996 to 2001, Tjalkens was a board member of WIC and from 1999 to 2003, he was board member of NERG. From 2011 to 2014 he participated in the European Union project EnLight.

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Onderzoeksoutput

Acoustic scene classification from few examples

Bocharov, I., Tjalkens, T. & de Vries, B., sep 2018, 2018 26th European Signal Processing Conference, EUSIPCO 2018. Piscataway: Institute of Electrical and Electronics Engineers, Vol. 2018-September. blz. 862-866 5 blz. 8553184

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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  • 1 Citaat (Scopus)
    170 Downloads (Pure)

    Using feature-based models with complexity penalization for selecting features

    Jalalirad, A. & Tjalkens, T., 1 feb 2018, In : Journal of Signal Processing Systems. 90, 2, blz. 201-210 10 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
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  • 3 Citaten (Scopus)
    69 Downloads (Pure)

    K-shot learning of acoustic context

    Bocharov, I., de Vries, A. & Tjalkens, T., 2017, NIPS Workshop on Machine Learning for Audio Signal Processing, 8 December 2017, Long Beach, California. blz. 1-6

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    2 Downloads (Pure)

    Probabilistic inference-based reinforcement learning

    Nguyen, M. Q., de Vries, A. & Tjalkens, T. J., 2017, blz. 92-94.

    Onderzoeksoutput: Bijdrage aan congresAbstractAcademic

    1 Downloads (Pure)

    Smart office lighting control using occupancy sensors

    Wang, X., Linnartz, J-P. & Tjalkens, T. J., 16 mei 2017, 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) . Guerrieri, A., Fortino, G., Vasilakos, A. V., Zhou, M., Lukszo, Z., Palau, C., Liotta, A., Vinci, A., Basile, F. & Fanti, M. P. (redactie). Piscataway: Institute of Electrical and Electronics Engineers, blz. 453-458 6 blz. 8000135

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 3 Citaten (Scopus)
    1 Downloads (Pure)

    Scriptie

    Universele bronkodering

    Auteur: Tjalkens, T., 20 okt 1983

    Begeleider: Schalkwijk, J. (Afstudeerdocent 1)

    Scriptie/Masterproef: Master

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