Publications by Signal Processing & Machine Learning

Are you looking for publications by Section of Signal Processing & Machine Learning? On this page you can find all the publications made by the Section of Signal Processing & Machine Learning - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Wagner, S. R., Stenner, R., Memon, M., Beevi, F. H. A. & Pedersen, C. F. (2014). Common Ambient Assisted Living Home Platform for Seamless Care. Abstract fra 8th International Conference on Pervasive Computing Technologies for Healthcare, Oldenburg, Tyskland.

Rehman, N. U. & Mandic, D. P. (2014). Dynamically-Sampled Bivariate Empirical Mode Decomposition. IEEE Signal Processing Letters, 21(7), 857-861. https://doi.org/10.1109/lsp.2014.2317773

Hajj, R., Ravelo, B., Cabral, J., Wagner, S. R., Pedersen, C. F. & Mathiesen, M. (2014). EMI Analysis of Wi-Fi and Bluetooth RF Communication for Medical Applications. I CEM 2014 - Actes du 17ème Colloque International et Exposition sur la Compatibilité ÉlectroMagnétique

Ravelo, B., Cabral, J., Wagner, S. R., Pedersen, C. F. & Mathiesen, M. (2014). EMI and BER/PER Analysis of Wi-Fi and Bluetooth Communication for CRIP Platform. Afhandling præsenteret på 17e Colloque International et Exposition sur la Compatibilité Electromagnetique, Clermont-Ferrand, Frankrig.

Ravelo, B., Cabral, J., Wagner, S. R., Pedersen, C. F. & Mathiesen, M. (2014). EMI and BER/PER Analysis of Wi-Fi and Bluetooth Communication for CRIP Platform. Poster-session præsenteret på 17e Colloque International et Exposition sur la Compatibilité Electromagnetique, Clermont-Ferrand, Frankrig.

Mortensen, A. K., Karstoft, H., Søegaard, K. & Nyholm Jørgensen, R. (2014). Estimating the content of clover and grass in the sward using a consumer camera and image processing. Abstract fra Agromek and NJF joint seminar, Herning, Danmark. http://www.njf.nu/477.htm

Larsen, J. J., Dalgaard, E., Christiansen, P. & Auken, E. (2014). Fast mapping and analysis of anthropogenic noise sources affecting MRS experiments. I Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. http://www.scopus.com/inward/record.url?scp=84908375168&partnerID=8YFLogxK

Rehman, N., Khan, M. M., Sohaib, M. I., Jehanzaib, M., Ehsan, S. & McDonald-Maier, K. (2014). Image fusion using multivariate and multidimensional EMD. I 2014 IEEE International Conference on Image Processing (ICIP) IEEE. https://doi.org/10.1109/icip.2014.7026035

Laursen, M. S., Nyholm Jørgensen, R. & Midtiby, H. S. (2014). Improving the segmentation for weed recognition applications based on standard RGB cameras using optical filters. Abstract fra Agromek and NJF joint seminar, Herning, Danmark.

Nyord, T., Steen, K. A. & Nyholm Jørgensen, R. (2014). Infrared measurements used as soil infiltration indicator for animal slurry. I International Conference of Agricultural Engineering - AgEng 2014 Zurich The European Society of Agricultural Engineers (EurAgEng). http://www.geyseco.es/ageng2014/eposter/?seccion=posters&idcomunicacion=556&tipo=3

Jensen, T. & Karstoft, H. (2014). Intelligent Soil Tillage. Abstract fra AGROMEK and NJF Joint Seminar on Future Arable Farming and Agricultural Engineering, Herning, Danmark.

Beevi, F. H. A., Pedersen, C. F., Wagner, S. R. & Hallerstede, S. (2014). Lateral Fall Detection via Events in Linear Prediction Residual of Acceleration. I C. Ramos, P. Novais, C. Ehrwein Nihan & J. M. Corchado Rodriguez (red.), Ambient Intelligence - Software and Applications: 5th International Symposium on Ambient Intelligence (Bind 291, s. 201-208). Springer. https://doi.org/10.1007/978-3-319-07596-9_22

Chavez Plascencia, A. & Karstoft, H. (2014). Map Building based on a Xtion Pro Live RGBD and a Laser Sensors. Journal of Information Technology & Software Engineering, 4, Artikel 126. https://doi.org/10.4172/2165-7866.1000126

Christiansen, M. P., Larsen, P. G. & Nyholm Jørgensen, R. (2014). Robotic design choice overview using co-simulation. Abstract fra Agromek and NJF joint seminar, Herning, Danmark.

Tu, G. J., Karstoft, H., Pedersen, L. J. & Jørgensen, E. (2014). Segmentation of sows in farrowing pens. IET Image Processing, 8(1), 56-68. https://doi.org/10.1049/iet-ipr.2012.0734

Streibig, J. C., Rasmussen, J., Andujar, D., Andreasen, C., Berge, T. W., Chachalis, D., Dittmann, T., Gerhards, R., Giselsson, T. M., Hamouz, P., Jaeger-Hansen, C., Jensen, K., Nyholm Jørgensen, R., Keller, M., Laursen, M., Midtiby, H. S., Nielsen, J., Müller, S., Nordmeyer, H. ... Christensen, S. (2014). Sensor-based assessment of herbicide effects. Weed Research, 54(3), 223–233. https://doi.org/10.1111/wre.12079

Pedersen, C. F. & Bäckström, T. (2014). Sparse Time-Frequency Representation of Speech by the Vandermonde Transform. I Proceedings of the Annual Conference of the International Speech Communication Association: INTERSPEECH 2014 (s. 2248-2252)

Laursen, M. S., Midtiby, H. S., Kruger, N. & Jorgensen, R. N. (2014). Statistics-based segmentation using a continuous-scale naive Bayes approach. Computers and Electronics in Agriculture, 109, 271-277. https://doi.org/10.1016/j.compag.2014.10.009

Siboska, D., Karstoft, H. & Pedersen, H. (2014). Synchronization of Electroencephalography and Eye Tracking using Global Illumination Changes. I Biosignals 2014 - 7th International Conference on Bio-inspired Systems and Signal Processing (s. 55-60). SCITEPRESS Digital Library. https://doi.org/10.5220/0004800400550060

Steen, K. A. & Karstoft, H. (2014). The acoustic adaptive frightening device-framework and algorithms. I 2014 IEEE Global Conference on Signal and Information Processing : GlobalSIP 2014 (s. 1117-1121). IEEE. https://doi.org/10.1109/GlobalSIP.2014.7032295

Jensen, K., Larsen, M., Nielsen, S. H., Larsen, L. B., Olsen, K. S. & Nyholm Jørgensen, R. (2014). Towards an Open Software Platform for Field Robots in Precision Agriculture. Robotics, 3(2). https://doi.org/10.3390/robotics3020207

Larsen, M., Adam, M. S., Schultz, U. P. & Nyholm Jørgensen, R. (2014). Towards automatic consistency checking of software components in field robotics. I Proceedings of the Second International Conference on Robotics, Associated High-Technologies and Equipment for Agriculture and Forestry - RHEA 2014: New trends in mobile robotics, perception and actuation for agriculture and forestry (s. 409-418)

Nyholm Jørgensen, R. (2013). Aarhus University looking for Wild Life Roe Deers with FLIR mounted UAV Sky-Watch in front of Mower. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=TrZpP23UBFE&nomobile=1

Memon, M., Wagner, S. R., Hansen, F. O., Pedersen, C. F., Beevi, F. H. A., Mathiesen, M., Nielsen, C. & Langvad, O. (2013). Ambient Assisted Living Ecosystems of Personal Healthcare Systems, Applications, and Devices. I Proceedings - Scandinavian Conference on Health Informatics 2013 (Bind 91/13, s. 61-65). Linköping University Electronic Press. http://www.ep.liu.se/ecp/091/013/ecp13091013.pdf

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2013). An Audio Based Adaptive Goose Scaring Device. Afhandling præsenteret på CIOSTA XXXV Conference, Billund, Danmark.

Steen, K. A., Therkildsen, O. R., Green, O. & Karstoft, H. (2013). Audio-Visual Recognition of Goose Flocking Behavior. International Journal of Pattern Recognition and Artificial Intelligence, 27(7). https://doi.org/10.1142/S0218001413500201

Jensen, K., Laursen, M. S., Midtiby, H. & Nyholm Jørgensen, R. (2013). Autonomous Precision Spraying Trials Using a Novel Cell Spray Implement Mounted on an Armadillo Tool Carrier. Afhandling præsenteret på CIOSTA XXXV Conference, Billund, Danmark. https://www.researchgate.net/publication/348751428_Autonomous_Precision_Spraying_Trials_Using_a_Novel_Cell_Spray_Implement_Mounted_on_an_Armadillo_Tool_Carrier

Ahrabian, A., Rehman, N. U. & Mandic, D. (2013). Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals. IEEE Signal Processing Letters, 20(3), 245-248. https://doi.org/10.1109/lsp.2013.2242062

Wagner, S. R., Hansen, F. O., Pedersen, C. F., Memon, M., Beevi, F. H. A., Mathissen, M., Nielsen, C. & Wesby, O. L. (2013). CareStore Platform for Seamless Deployment of Ambient Assisted Living Applications and Devices. I Pervasive Computing Technologies for Healthcare (PervasiveHealth) 2013: 7th International Conference on (s. 240-243). IEEE. https://doi.org/10.4108/icst.pervasivehealth.2013.252110

Park, C., Looney, D., Rehman, N. U., Ahrabian, A. & Mandic, D. P. (2013). Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(1), 10-22. https://doi.org/10.1109/tnsre.2012.2229296

Christiansen, M. P., Larsen, M. & Nyholm Jørgensen, R. (2013). Collaborative Model Based Development of Adaptive Controller Settings for a Load-carrying Vehicle with Changing Loads. Afhandling præsenteret på CIOSTA XXXV Conference, Billund, Danmark. https://www.researchgate.net/publication/333658745_Collaborative_Model_Based_Development_of_Adaptive_Controller_Settings_for_a_Load-carrying_Vehicle_with_Changing_Loads

Rehman, N. U., Park, C., Huang, N. E. & Mandic, D. P. (2013). Emd via memd: Multivariate noise-aided computation of standard emd. Advances in Adaptive Data Analysis, 05(02), 1350007. https://doi.org/10.1142/s1793536913500076

Mandic, D. P., Rehman, N. U., Wu, Z. & Huang, N. E. (2013). Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis. IEEE Signal Processing Magazine, 30(6), 74-86. https://doi.org/10.1109/msp.2013.2267931

Kusk, K., Nielsen, D. B., Thylstrup, T., Rasmussen, N. H., Jørvang , J., Pedersen, C. F. & Wagner, S. R. (2013). Feasibility of using a lightweight context-aware system for facilitating reliable home blood pressure self-measurements. I Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops: PervasiveHealth 2013 (s. 236-239) https://doi.org/10.4108/icst.pervasivehealth.2013.252107

Giselsson , T. M. & Nyholm Jørgensen, R. (2013). Field Simulation Method for Testing Computer Vision Algorithms. Afhandling præsenteret på CIOSTA XXXV Conference, Billund, Danmark.

Tu, G. J., Karstoft, H., Pedersen, L. J. & Jørgensen, E. (2013). Foreground detection using loopy belief propagation. Biosystems Engineering, 116(1), 88-96. https://doi.org/10.1016/j.biosystemseng.2013.06.011

Nielsen, M. R., Laursen, M. S., Jonassen, M. S., Nielsen, K. & Nyholm Jørgensen, R. (2013). Gall mite inspection on dormant black currant buds using machine vision. I Precision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013 (s. 517-524) http://www.scopus.com/inward/record.url?scp=84893421680&partnerID=8YFLogxK

Larsen, J. J., Dalgaard, E. B. & Auken, E. (2013). Noise cancelling of MRS signals combining model-based removal of powerline harmonics and multichannel Wiener filtering. Geophysical Journal International, 196(2), 828-836. https://doi.org/10.1093/gji/ggt422

Larsen, J. J., Dalgaard, E. B. & Auken, E. (2013). Noise Cancelling of Multichannel MRS Signals with a Time Dependent Harmonic Model. Poster-session præsenteret på AGU Fall Meeting, San Francisco, USA.

Jørvang, J., Kusk, K., Nielsen, D. B., Thylstrup, T., Pedersen, C. F. & Wagner, S. R. (2013). Reliable Unsupervised Home Blood Pressure Self-Measurement with a Focus on Time-to-Rest using Sensor Fusion. The Journal of Pervasive Systems Engineering, 1. http://pervasivesystems.org/Papers/2013-1/Reliable%20Unsupervised%20Home%20Blood%20Pressure.pdf

Giselsson, T. M., Midtiby, H. & Jørgensen, R. N. (2013). Seedling Discrimination with Shape Features Derived from a Distance Transform. Sensors, 13(5), 5585-5602. https://doi.org/10.3390/s130505585

Simonsen, O. H., Karstoft, H., Kappel, S. L., Hermann, D., Rathleff, M. S. & Ahrendt, P. (2013). Stretch Sensor Device. (Patentnummer PCT/DK2012/050341, WO2013041101). http://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2013041101A1&KC=A1&FT=D&ND=3&date=20130328&DB=EPODOC&locale=dk_DK

Pedersen, C. F. (2013). Teaching Portfolio. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.

Pedersen, M. N., Letschnik, J., Schelde, L., Karstoft, H., Schurig, F. & Walter, U. (2013). Three-dimensional radiation pattern measurement strategy for ground station antennas. International Journal of Satellite Communications and Networking, 31(1), 39-50. https://doi.org/10.1002/sat.1020

Bjerge, K. & Larsen, P. G. (2013). Using VDM in a Co-Simulation Setting for an Industrial Conveyor System. I The Modelling, Identification and Control - MIC 2013 conference ACTA Press. https://doi.org/10.2316/P.2013.794-005

Thorndal, A., Larsen, J. J. & Johansen, L. G. (2012). Active road noise reduction in Audi A8 W12 with adaptive suspension: A feasibility study. Afhandling præsenteret på AES Conference on Automotive Audio, München, Tyskland.

Dalgaard, E., Auken, E. & Larsen, J. J. (2012). Adaptive noise cancelling of multichannel magnetic resonance sounding signals. Geophysical Journal International, 191(1), 88-100. https://doi.org/10.1111/j.1365-246X.2012.05618.x

Kappel, S., Rathleff, M. S., Hermann, D., Simonsen, O., Karstoft, H. & Ahrendt, P. (2012). A Novel Method for Measuring In-Shoe Navicular Drop during Gait. Sensors, 12(9), 11697-711. https://doi.org/10.3390/s120911697

Steen, K. A., Villa-Henriksen, A., Therkildsen, O. R., Karstoft, H. & Green, O. (2012). Automatic Detection of Animals using Thermal Imaging. Afhandling præsenteret på Agriculture & Engineering for a Healthier Life, Valencia, Spanien. http://cigr.ageng2012.org/images/fotosg/tabla_137_C0392.pdf

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2012). A Vocal-Based Analytical Method for Goose Behaviour Recognition. Sensors, 12, 3773-3788. https://doi.org/10.3390/s120303773

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Revideret 13.11.2025

AU Engineering