Jack Dagdagan

Jack Dagdagan


Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt

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Jack received his B.Sc. degree in Electrical Engineering from TU Darmstadt in 2013 after developing a robustification for a stationarity detector in his Bachelors Thesis. In 2014 and 2015 he invented an adaptive loudspeaker equalizer (USPTO app. 20170195790 ) during his time as trainee at Apple Inc. in Cupertino, CA. He returned to TU Darmstadt to receive his M.Sc. degree in Electrical Engineering in 2016 after developing an estimator for localizing sound sources and receivers in an uncalibrated Wireless Acoustic Sensor Network without prior location information.

In 2017 Jack joined the Signal Processing group to commence work on his PhD.


Jack’s research interests lie in the field of array signal processing in uncalibrated distributed acoustic sensor networks and sensor fusion. He is also interested in acoustic environment identification using ambient noise.

Currently, he is working on wireless acoustic sensor network calibration in non-line-of-sight environments.


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Jump to: 2015 | 2014
Number of items: 3.


Kelava, Augustin ; Muma, M. ; Deja, M. ; Dagdagan, J. Y. ; Zoubir, A. M. (2015):
A new approach for the quantification of synchrony of multivariate non-stationary psychophysiological variables during emotion eliciting stimuli.
In: Frontiers in Psychology, 5, ISSN 1664-1078,
DOI: 10.3389/fpsyg.2014.01507,


Dagdagan, J. Y. ; Muma, M. ; Zoubir, A. M. (2014):
Robust testing for stationarity in the presence of outliers.
In: 2014 {IEEE} {International} {Conference} on {Acoustics}, {Speech} and {Signal} {Processing} ({ICASSP}), S. 3464-3468, DOI: 10.1109/ICASSP.2014.6854244,
[Conference item]

Dagdagan, J. Y. ; Choisel, S. J. ; Johnson, M. E. (2014):
Loudspeaker equalizer.
US 20170195790,
[Norm, Patent, Standard]

This list was generated on Mon Oct 18 17:17:18 2021 CEST.