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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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Research Output 1984 2019

Automated design of Bayesian signal processing algorithms

van de Laar, T., 12 Jun 2019, Eindhoven: Technische Universiteit Eindhoven. 183 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
Signal processing

Performance of intelligent lighting sensor networks : analysis, modeling and distributed architectures

Papatsimpa, C., 27 May 2019, Eindhoven: Technische Universiteit Eindhoven. 141 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access

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, p. 862-866 5 p. 8553184

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Hearing aids

Intelligence in an office lighting system

Wang, X., 11 Dec 2018, Eindhoven: Technische Universiteit Eindhoven. 136 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
2 Citations (Scopus)

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, p. 201-210 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Feature extraction
Feature Selection

Student theses

Context weighting in wavelet image compression

Author: Brünken, L., 1999

Supervisor: Tjalkens, T. (Supervisor 1) & Brussaard, G. (Supervisor 2)

Student thesis: Master


Implementatieaspecten van een LDPC decoder in een FPGA

Author: Sullock Enzlin, E., 28 Feb 2005

Supervisor: Willems, F. (Supervisor 1) & Tjalkens, T. (Supervisor 2)

Student thesis: Master


Online LDA model inference for collaborative filtering

Author: Cox, M., 28 Feb 2014

Supervisor: Tjalkens, T. (Supervisor 1)

Student thesis: Master

Optimal scalable decentralized Kalman filter

Author: Oruc, S., 2008

Supervisor: Lazar, M. (Supervisor 1), Sijs, J. (Supervisor 2) & Tjalkens, T. (Supervisor 2)

Student thesis: Master


Tekstcompressie van de korte bestanden m.b.v. het context-tree-weighting algoritme

Author: Fako, A., 31 Oct 2001

Supervisor: Tjalkens, T. (Supervisor 1)

Student thesis: Master